Abstract: A processing circuitry decodes a plurality of maps in 2D from a bitstream carrying a mesh frame. The mesh frame represents a surface of an object with polygons. The plurality of maps includes a decoded geometry map and a decoded attribute map with an adaptive 2D atlas sampling applied. The processing circuitry determines at least a first sampling rate and a second sampling rate according to syntaxes signaled in the bitstream. The first sampling rate is applied to a first region of the mesh frame and the second sampling rate is applied to a second region of the mesh frame during the adaptive 2D atlas sampling. The processing circuitry reconstructs, based on the plurality of maps, at least a first vertex of the mesh frame according to the first sampling rate, and a second vertex of the mesh frame according to the second sampling rate.

Abstract: The present disclosure provides a detection device of a display panel. The detection device includes: an image receiver configured to receive a detection image of a display panel to be detected; a detector configured to input the detection image of the display panel to be detected into a detection model and generate a detection result by the detection model, the detection model is pre-constructed and configured to detect the display panel. The disclosure also provides a detection method of the display panel, an electronic device and a computer readable medium.

Abstract: The disclosure presents solutions for determining a casing wear parameter. Image collecting or capturing devices can be used to capture visual frames of a section of drilling pipe during a trip out operation. The visual frames can be oriented to how the drilling pipe was oriented within the borehole during a drilling operation. The visual frames can be analyzed for wear, e.g., surface changes, of the drilling pipe. The surface changes can be classified as to the type, depth, volume, length, shape, and other characteristics. The section of drilling pipe can be correlated to a depth range where the drilling pipe was located during drilling operations. The surface changes, with the depth range, can be correlated to an estimated casing wear to generate the casing wear parameter. An analysis of multiple sections of drilling pipe can be used to improve the locating of sections of casing where wear is likely.

Abstract: An apparatus comprises a processing device configured to identify a given one of one or more assets in an information technology infrastructure associated with a support indicator associated with a priority level, and to obtain information characterizing state transitions of the one or more assets. The processing device is also configured to determine, based at least in part on a current state of the given asset identified utilizing the obtained information, a probability of the given asset transitioning to each of a plurality of states and to select, based at least in part on the determined probabilities, one of the plurality of states as a predicted future state of the given asset utilizing conformal prediction. The processing device is further configured to modify the priority level of the support indicator associated with the given asset based at least in part on the predicted future state of the given asset.

Abstract: Systems and methods are provided to retrieve or analyze usage data collected from a device or a facility where the device, optionally with devices are located, and identify useful features for making a diagnosis of the device. The diagnosis can be made before a system failure to reduce down time and inefficient use of the device, or after the system failure to expedite and facilitate diagnosis and repair. In addition to the usage data, such as energy and resource consumption, the system can also obtain information relating to the facility and the device's external environment which can be used for normalizing the usage data. Further, based on the diagnosis, the system can make suitable recommendations for repair, replacement, maintenance and upgrade.

Abstract: Provided is a method of drilling a hydrocarbon well that includes conducting a drilling operation, collecting drilling data including characteristics of the drilling operation over a timespan, determining (based on the drilling data) drilling conditions for instants of time within the timespan, determining (based on application of the drilling conditions) preliminary classifications identifying a preliminary classification of the drilling operation for instants of time within the timespan, determining (based on the preliminary classifications) a series of classifications for the drilling operation that each indicate a determined classification for a respective instant of time, determining (based on the series of classifications) a change of classifications, conducting (in response to determining the change of classifications) a change point detection to identify a time of the change of classifications, generating drilling characteristic data indicating the time, and conducting the drilling operation in accord

Abstract: A wheel-mounted sensor ring is configured to be removably attachable to a hub portion of a railcar wheel of a railcar wheelset for use in determining anomalies associated with the railcar wheel, or a railcar bogie assembly that the railcar wheelset is part of, or a track, during motion of the railcar wheelset on a track. The sensor ring includes one or more sensors, such as inertial measurement units (IMU's), mounted thereto to measure parameters that are used for determining the anomalies during motion of the railcar wheel on the track.

Abstract: A method for predicting a time-to-failure of a target storage device may include training a machine learning scheme with a time-series dataset, and applying the telemetry data from the target storage device to the machine learning scheme which may output a time-window based time-to-failure prediction. A method for training a machine learning scheme for predicting a time-to-failure of a storage device may include applying a data quality improvement framework to a time-series dataset of operational and failure data from multiple storage devices, and training the scheme with the pre-processed dataset. A method for training a machine learning scheme for predicting a time-to-failure of a storage device may include training the scheme with a first portion of a time-series dataset of operational and failure data from multiple storage devices, testing the machine learning scheme with a second portion of the time-series dataset, and evaluating the machine learning scheme.

Abstract: A controller processes data from one or more sensors of a subsystem of a vehicle. The processing includes smoothing the data and calculating a mean of the data. The controller identifies a transition point in the processed data where a moving average of the data is less than the mean by a predetermined amount indicating a trend. The controller selects a segment of the processed data subsequent to the transition point, detects the trend in the segment using regression, and extrapolates the detected trend to reach a predetermined fault threshold. The controller predicts a failure of the subsystem based on a slope of the extrapolated trend and provides an indication of the prediction based on the slope to schedule a service for the subsystem.

Abstract: An inspection-plan based inspection method includes receiving data characterizing an inspection plan associated with inspection of one or more nodes in an inspection site by an inspection device. A first step of the inspection plan includes a first set of operating parameters of the inspection device associated with the inspection of a first node of the one or more nodes and a first set of constraints associated with one or more inspection criteria at the first node by the inspection device. The method also includes generating a first control signal configured to instruct the inspection device to inspect the first node of the one or more nodes. The first control signal is based on one or more of the first set of operating parameters and a user input. The method further includes receiving data characterizing the inspection measurement of the first node by the inspection device.

Abstract: A method for detecting wear before failure of a free-wheel, the free-wheel comprising a driving part integrated into an upstream mechanical power transmission system and a driven part integrated into a downstream mechanical power transmission system. The method comprises determining an oscillation measurement of a monitoring parameter within the upstream or downstream mechanical power transmission system, determining a value of at least one dynamic parameter characteristic of the oscillation measurement or of a transform of the oscillation measurement in a frequency reference frame, and generating an alarm when the value of the dynamic parameter reaches at least one wear threshold.

Abstract: A monitoring system for monitoring an escalator is provided. The monitoring system including: a local gateway device; and a sensing apparatus in wireless communication with the local gateway device through a short-range wireless protocol, the sensing apparatus including: an inertial measurement unit sensor configured to detect acceleration data of the escalator.

Abstract: Methods and systems related to the field of carbon capture and utilization are disclosed. A disclosed method for controlling an electrolysis system with a plurality of electrolysis cells includes several steps. The electrolysis system converts a fluidic flow containing COx into at least one chemical. The method includes monitoring, using at least one sensor, a plurality of electrolysis cells. The method also includes identifying, via the monitoring, a degrading cell in the plurality of electrolysis cells. The method also includes modifying, upon the identifying of the degrading cell and while continuing to operate at least one other cell in the plurality of electrolysis cells, an operational state of the plurality of electrolysis cells.

Abstract: A display apparatus that displays log data which indicates when the log data deviates from a normal state and a deviation degree is provided. The display apparatus comprises: a memory to store prediction data including a signal value of a prediction value of the log data and accuracy degree of the prediction value, and a signal value of an actual measurement value of the log data; a control unit to generate a display screen on which a prediction value area indicating an area of the log data in normal state is depicted based on the prediction data and on which a signal wavelength of the signal value of the actual measurement value is depicted based on the signal value of the actual measurement value; and a display unit to display the display screen.

Abstract: A method including measuring vibrations of a rotating machine during its operation, using a vibration sensor. Next, from the signal measured by the sensor, automatically extracting, using an electronic detection device, a first signal representative of components of a first frequency range of the measured vibration signal, and a second signal representative of a second frequency range of the measured vibration signal. Then, from the first signal, calculating a first data set belonging to a time domain of the first signal, and extracting first calculation elements therefrom. Next, from the second signal, calculating a second data set belonging to a frequency domain of the second signal, and extracting second calculation elements therefrom. Lastly, determining a health index of the bearing from each of the extracted calculation elements.

Abstract: Methods and systems for a data marketplace in a conveyor environment includes a self-organizing data marketplace. The self-organizing data marketplace includes at least one data collector and at least one corresponding conveyor in an industrial environment, wherein the at least one data collector is structured to collect detection values from at least one sensor of a power roller of the at least one corresponding conveyor; a data storage structured to store a data pool comprising at least a portion of the detection values; a data marketplace structured to self-organize the data pool; and a transaction system structured to interpret a user data request, and to selectively provide a portion of the self-organized data pool to a user in response to the user data request.

Abstract: A system includes a controller with processors configured to execute an auto-correlation module embodied in one or more sets of program instructions stored in memory. The auto-correlation module is configured to cause the processors to receive one or more patterned wafer geometry metrics, receive wafer characterization data from one or more characterization tools, determine a correlation between the one or more patterned wafer geometry metrics and the wafer characterization data, generate a ranking of the one or more patterned wafer geometry metrics based on the determined correlation, construct a composite metric model from a subset of the one or more patterned wafer geometry metrics based on the ranking of the one or more patterned wafer geometry metrics, generate one or more composite wafer metrics from the composite metric model, and generate a statistical process control output based on the one or more composite wafer metrics.

Abstract: Disclosed is an intelligent on-line diagnosis method for winding deformation of power transformer. When a transformer is subjected to short-circuit shock or transportation collision, transformer windings may undergo local twisting, swelling or the like under the action of an electric power or mechanical force, which is called winding deformation and will cause a huge hidden danger to the safe operation of the power network. Commonly used diagnosis methods for winding deformation are all off-line diagnosis methods, which have the disadvantages that transformers need to be shut down and highly skilled operators are required. The present invention provide an intelligent on-line diagnosis method for winding deformation on the basis of combination of information entropy and support vector machine.

Abstract: A vibration amplification and detection device may include a coiled diaphragm coupled to a pin that is also coupled to a substrate. The coiled diaphragm may be coupled to the pin via at least one axle and a fulcrum disc, and the vibration detection device may be coupled to a surface via the substrate. Responsive to vibration associated with or proximate the surface, the coiled diaphragm may receive and amplify the received vibration. In addition, a sensor associated with the vibration detection device may capture or detect the received and amplified vibration. Further, the detected vibration may be processed and compared with known vibrations and associated properties. Moreover, one or more actions may be instructed based on the detected vibration and associated properties.

Abstract: A system, method and apparatus that includes two or more sensor nodes that obtain sensed data from a structure. A controller receives the sensed data from the sensor nodes, via a network formed by the sensor nodes and the controller. The controller controls functionality of each of the sensor nodes, controls time synchronization among the sensor nodes, detects information collected by the sensor nodes, and communicates, utilizing an M-ary time-reversal based protocol, the detected information using a planar surface of the structure as the transmission medium for elastic waves.

Abstract: A method, device, and system of estimation fatigue life of a technical system are disclosed. The method includes computing a lifing probability distribution for at least one component of the technical system based on material property scatter data and at least one damage scenario associated with the at least one component. Further, the method includes determining a time-damage accumulation for the at least one component by combining plurality of damage scenario and damage accumulation rules for the at least one component. Furthermore, the method includes determining a spatial-damage accumulation and a cumulative time-damage accumulation for each of a plurality of regions in the at least one component. The method also includes determining an integral damage including integral of the spatial-damage accumulation and the cumulative time-damage accumulation for the at least one component based on simulation of the at least one damage scenario and conditional probabilities for the at least one damage scenario.

Abstract: A gas turbine engine for an aircraft includes a fan system having a reverse travelling wave first flap mode, Fan RTW, and including a fan located upstream of the engine core; a fan shaft; and a front engine structure arranged to support the fan shaft and having a front engine structure nodding mode comprising a pair of modes at similar, but not equal, natural frequencies in orthogonal directions; and a gearbox. An LP rotor system including the fan system and a gearbox output shaft arranged to drive the fan shaft has a first reverse whirl rotor dynamic mode, Rotor RW, and a first forward whirl rotor dynamic mode, 1FW. The engine has a maximum take-off speed, MTO. A backward whirl frequency margin of: the ? ? lowest ? ? frequency ? ? of ? ? either ? ? mode ? ? Fan ? ? RTW ? ? or ? ? Rotor ? ? RW ? ? at the ? ? MTO ? ? speed the ? ? MTO ? ? speed may be in the range from 15 to 50%.

Abstract: An aircraft gas turbine engine includes a fan system having a reverse traveling wave first flap mode, Fan RTW, and including a fan upstream of the engine core; a fan shaft; and a front engine structure to support the shaft and having a front engine structure nodding mode FSN including two modes at similar, but unequal, natural frequencies in orthogonal directions; and a gearbox. The engine includes a gearbox, and a gearbox output shaft to couple output of the gearbox to the fan shaft. An LP rotor system including the fan system and the gearbox output shaft has a first reverse whirl rotor dynamic mode, Rotor RW.

Abstract: Apparatus and methods to investigate a multiple nested conductive pipe structure can be implemented in a variety of applications. An electromagnetic pulsed tool disposed in the multiple nested conductive pipe structure in a wellbore can make a set of log measurements and provide a measured log at different depths in the multiple nested conductive pipe structure. A test setup or library can provide a set of small defect log measurements. Processing circuitry can process the set of log measurements to generate thickness estimations of the multiple nested conductive pipes and processing circuitry can process the set of small defect log measurements to generate small defect thickness estimations. Processing circuitry can solve a system of equations involving the thickness estimations and the small defect thickness estimations to generate thickness variations for the multiple nested conducted pipes over the different depths. Additional apparatus, systems, and methods are disclosed.

Abstract: Methods for detecting contaminants on optical fiber connectors incorporate statistically based routines that include processing of one or more digital images to dynamically determine fiber locations and boundaries, detect contamination in fiber locations, dynamically detect ferrule boundaries, detect contamination in ferrule locations, and collect resulting data. Sequential masking and detection permits detection of contaminants in a first region non-coincident with a first mask image, and in a second region non-coincident with a second mask image. Dynamic determination of locations and boundaries for structures such as fibers, ferrules, and pins or pinhole features address limitations associated with static determination of locations and boundaries for these structures. Specific routines or routines are provided for single- and multi-fiber connectors, including single fiber connectors having physical contact and angled physical contact polishes.

Abstract: System for diagnosing pneumatic control valve online include a sensor set having sensors, attached to a pneumatic control valve, for measuring the state of the pneumatic control valve, a smart data analyzer for processing sensor signal acquired in real time from the sensor set and generating pneumatic control valve state information for online automatic diagnosis of the pneumatic control valve, a data server for transmitting, to an online analysis server, the pneumatic control valve state information received in real time from the smart data analyzer and storing the pneumatic control valve state information for predetermined time period, the online diagnostic server for, by comparing the pneumatic control valve state information with pre-stored normal state data of the pneumatic control valve, determining whether the pneumatic control valve is in abnormal state and generating diagnostic information, and a client computer for displaying the diagnostic information received from the online diagnostic server.

Abstract: Systems, computer-implemented methods and/or computer program products that facilitate automating fault isolation of flight control surfaces and damage detection of aircraft are provided. In one embodiment, a system 100 utilizes a processor 102 that executes computer implemented components stored in memory 104. One or more sensors 106 monitor wing and flight control surface from one or more vantage points to obtain full coverage of the wing. A machine vision component 108 assesses condition of the wing and the flight control surface based on results of the one or more sensors 106. A spectrographic component 110 detects leaks by monitoring airflow for traces of fuel or hydraulic fluid.

Abstract: A monitor and control system and a method of monitoring and controlling an onboard system of an assembly includes one or more of a plurality of sensors detects whether an event occurred in the onboard system. The sensors communicate with a master controller when the master controller is in a nominal mode in which the master controller is powered on to actively monitor the sensors, and includes a sleep mode in which the master controller is powered off and does not monitor the sensors when in the sleep mode. An agent controller monitors the sensors when the master controller is in the sleep mode. One or more of the sensors signal the agent controller that the event has occurred. The agent controller signals the master controller to awaken from the sleep mode in response to the one or more of the sensors signaling the agent controller of the event.

Abstract: Aspects provide for in-situ monitoring of a structure, such as a portion of an in-operation vehicle, by a patch and controller by transmitting, at a first time, a first signal from a first transceiver of a plurality of transceivers in contact with the structure; receiving the first signal carried in the structure at a second transceiver of the plurality of transceivers at a known distance from the first transceiver; determining a baseline signal characteristic of the first signal as received at the second transceiver; transmitting, at a second time, a second signal from the first transceiver; receiving the second signal carried in the structure at the second transceiver; determining a diagnostic signal characteristic of the second signal as received at the second transceiver; and in response to determining that a difference between the baseline signal characteristic and the diagnostic signal characteristic exceeds a threshold, generating an alert.

Abstract: As described herein, a system, method, and computer program are provided for closed loop management of a network. In use, a goal state is stored for a resource in a network. Additionally, an actual state of the resource is monitored. Further, divergence of the actual state of the resource from the goal state stored for the resource is detected, based on the monitoring. Still yet, a solution to return the actual state of the resource to the goal state is determined, where the solution includes a computed activity path that returns the actual state of the resource to the goal state. The solution is then executed to return the actual state of the resource to the goal state.

Abstract: An aircraft control system includes a flow control device and a control circuit. The flow control device is configured to control a flow of air around an aircraft. The control circuit is configured to control the flow control device so that a pressure distribution loaded on a surface of a structure that constitutes the aircraft is equal to a control value of a pressure distribution calculated based on a physical quantity detected by a sensor provided in the aircraft. The physical quantity relates to the air.

Abstract: Dynamic band contrast image (DBCI) is constructed with scattering patterns acquired at multiple scanning locations of a sample using a charged particle beam. Each pixel of the DBCI is generated by integrating the corresponding scattering pattern along a diffraction band. The DBCI includes charged particle channeling condition and can be used for detecting sample defects.

Abstract: One embodiment can provide a system for detecting faults in a machine. During operation, the system can obtain a dynamic signal associated with the machine, apply one or more signal-processing techniques to the dynamic signal to obtain frequency, amplitude, and/or time-frequency information associated with the dynamic signal, extract motion-insensitive features from the obtained frequency, amplitude, and/or time-frequency information associated with the dynamic signal, and determine whether a fault occurs in the machine based on the extracted features.

Abstract: Embodiments of the invention are directed to a method and resulting structures for identifying an integrated circuit (IC) chip using optically-unique features. In a non-limiting embodiment of the invention, an imaging device generates an image of the chip. One or more optical features of the chip within the image can be determined and stored in a local or remote database. Metadata associated with the chip can be generated and linked with the one or more optical features of the chip and a unique identifier of the chip in the database.

Abstract: Method and system for model fitting to hierarchical time series clusters is described. A plurality of time series to be analyzed are clustered as hierarchical time series clusters using Dynamic Time Warping (DTW) as the optimal distance measure to create time series hierarchical clusters. The method disclosed recognizes least dissimilarity time series in the hierarchical time series clusters, and a best fit model is identified for the time series. The same model is continued up the hierarchy along the branch of the hierarchical time series clusters till the model identified satisfies Error Tolerance (ET) and Error Difference (ED) criteria. The method reduces the model fitting time or model building time by more than 50%.

Abstract: A method comprises steps in which: the specimen is baked under pressure then put into the expected format, a stripping test is carried out by peeling apart two reinforcing plies, at least one image is acquired of the two half-specimens obtained at the end of the stripping test, the acquired images are trimmed, a first image separating reinforcement regions from regions of rubber composition is then determined, a second image is determined depending on the spacing and on the diameter of the reinforcing cords of the tire, among a theoretical image and a fitted theoretical image, and a score depending on the ratio of the area of the reinforcing cords in the first image to the area of the reinforcing cords in the second image is determined.

Abstract: A method for automatic determination of trends in the graphic analysis of turbomachinery, characterized by understanding the steps of: a) obtaining valid data from sensors installed on the turbomachinery for analysis; b) applying fourth order polynomial regression and evaluating its correlation with the sample; c) calculating the relative variation between the first and last points of the series; d) assessing whether the levels of relative variation and relative correlation exceed a previously pre-established minimum level; d1) displaying a non-existent trend result, if the relative variation or the relative correlation does not exceed the minimum level previously established; e) calculating the trend using the weighted average calculations; f) calculating and classifying the rate of change between consecutive values in the valid data series; g) determining parameters for the rate of change; h) checking if the rate of change parameters meet trend criteria, where: h1) if the rate of change parameters meet tren

Abstract: A hyper-redundant monitoring system and a gas turbine including the hyper-redundant monitoring system are provided. The hyper-redundant monitoring system includes a processor, a sensor node operably connected to the processor. The sensor node includes a plurality of sensors disposed in close proximity to one another such that a single parameter is measured by each of the plurality of sensors and each sensor is configured to transmit the parameter. The system also includes a power source and a controller in operable communication with the processor. The single parameter is output by each of the sensors and transmitted to the processor which collects the output parameters, analyzes the output parameters, and transmits analyzed data to the controller.

Abstract: Methods of detecting, quantifying and/or characterizing the fouling of a device from a combination of pressure and spectroscopic data are provided. The device can be any device containing components susceptible to fouling. Components can include membranes, pipes, or reactors. Suitable devices include membrane devices, heat exchangers, and chemical or bio-reactors. Membrane devices can include, for example, microfiltration devices, ultrafiltration devices, nanofiltration devices, reverse osmosis, forward osmosis, osmosis, reverse electrodialysis, electro-deionisation or membrane distillation devices. The methods can be applied to any type of membrane, including tubular, spiral, hollow fiber, flat sheet, and capillary membranes. The spectroscopic characterization can include measuring one or more of the absorption, fluorescence, or raman spectroscopic data of one or more foulants. The methods can allow for the early detection and/or characterization of fouling.

Abstract: Change points of a system represented by a plurality of time series are detected more appropriately. An information processing system includes means for learning, with respect to each of a plurality of time series, models that approximate partial time series respectively and are defined by parameters of the partial time series respectively, the partial time series being obtained by dividing a corresponding time series into a plurality of segments at change point candidates; and means for detecting, with respect to each of the change point candidates for the plurality of time series, a global change point that is a change point for the plurality of time series based on a difference between a parameter of a first partial time series starting from a time point of a corresponding change point candidate and a parameter of a second partial time series before the corresponding change point candidate, and outputting the global change point.

Abstract: The subject matter of this specification can be embodied in, among other things, a method that includes providing a first pipe having a first leading end and a first trailing end, providing a second pipe having a second leading end and a second trailing end, abutting at least a portion of the second leading end to at least a portion of the first trailing end to define a pipe abutment zone comprising a portion of the first pipe measured longitudinally from the first trailing end and a portion of the second pipe measured longitudinally from the second leading end, conveying the first and second pipe past an inspection device, inspecting by the inspection device a first portion of the pipe abutment zone and a second portion of the pipe abutment zone, and providing defect data that describes defects detected within the first portion and the second portion.

Abstract: Condition monitoring of equipment, machines, and parts with rotational or linear movement that constantly changes speed, starts and stops at different positions, that does not make complete rotations is done according to the invention by binning vibrational data according to position and thereafter performing a Fourier transformation for analysis. Among other things this avoids smearing in the frequency domain due to speed changes.

Abstract: An artificial intelligent fuel cell system according to an exemplary embodiment of the present invention may include: a fuel cell stack in which a plurality of unit cells is combined for generating electric energy with an electrochemical reaction; a sensor unit which measures in real time data about each of the unit cells forming the fuel cell stack, temperature, pressure, humidity, and flow rates of reaction gases, and cooling water, and current and voltage data during an operation of a fuel cell; an artificial intelligent unit which collects the data measured by the sensor unit with a predetermined time interval, generates a model for predicting and controlling performance of the fuel cell through the learning and analysis of the collected data, compares the generated model with the data measured in real time and diagnoses a state of the fuel cell stack, and generates a control signal for changing an operation condition of the fuel cell stack; and a control unit which changes the operation condition of the

Abstract: A dummy substrate detection method includes: acquiring a real-time image of a conveying route when a cut substrate enters the conveying route; matching and comparing the acquired real-time image of the conveying route with a first reference image, and determining whether or not there is a dummy substrate on the conveying route according to a comparison result. The first reference image is an image of the conveying route with no dummy substrate. A dummy substrate detector device and a dummy substrate detector system are further provided.

Abstract: Monitoring indoor environmental conditions is provided. Sensor data and its corresponding time stamps from is collect from a number of environmental sensors within an enclosed environment. A set of all possible states is defined for a specified time period, each state representing a range of sensor data values. A probability of the system changing from any one state to another is modeled according to a Markov chain. When a new sensor data value is received from a sensor it is compared to a last sensor data value of a previous state, and a probability of transition from the previous state to the current state is determined. If the probability of transition from the previous state to the current state is less than a predetermined threshold, an anomaly is detected, and a service request is generated.

Abstract: According to one embodiment, a structure evaluation system includes an impact imparting unit, a sensor, and a structure evaluation device. The impact imparting unit applies impacts to a structure. The impact imparting unit applies the impacts at a frequency equal to or less than a frequency determined in accordance with an intensity at which the impacts are imparted. The sensor detects elastic waves. The structure evaluation device evaluates a deterioration state of the structure on the basis of the detected elastic waves.

Abstract: An electronic circuit including: an electronic component, a conductive armature surrounding the electronic component, an electrical insulator between the electronic component and the conductive armature, a device configured to measure current passing through the armature or voltage on the armature or on the electronic component, and a defect determination device configured to determine a defect in the electrical insulator based on the measured current or voltage.

Abstract: A fault diagnosis apparatus acquires, by using an acquisition unit, for each of a plurality of medical devices, installation environment information including a plurality of items about an installation environment in which each of the plurality of medical devices is installed; classifies, by using a classification unit, the plurality of medical devices into a plurality of groups on the basis of the installation environment information; extracts, by using an extraction unit, an item in the installation environment information representing a feature of a group to which a device in which a fault has occurred among the plurality of medical devices belongs, the feature being different from that of the other groups; and performs control, by using a display control unit, to cause a display unit to display an extraction result obtained by the extraction unit.

Abstract: A system and method for detecting foreign object debris damage is disclosed. A method for foreign object debris detection in a gas turbine engine may include receiving, by a controller, a first time-series data from a database, wherein the first time-series data comprises a feature, pre-processing, by the controller, the first time-series data to generate a second time-series data, generating a third time-series data via an anomaly detector model, sending, by the controller, the third time-series data to a foreign object debris (FOD) damage model, and determining, by the controller, that a FOD event has occurred based on data received from the FOD damage model. In various embodiments, the method may further comprise generating, by the controller, a health report (HR).

Abstract: Methods and systems fir identifying nuisances and defects of interest (DOIs) in defects detected on a wafer are provided. One method includes acquiring metrology data for the wafer generated by a metrology tool that performs measurements on the wafer at an array of measurement points. In one embodiment, the measurement points are determined prior to detecting the defects on the wafer and independently of the defects detected on the wafer. The method also includes determining locations of defects detected on the wafer with respect to locations of the measurement points on the wafer and assigning metrology data to the defects as a defect attribute based on the locations of the defects determined with respect to the locations of the measurement points. In addition, the method includes determining if the defects are nuisances or DOIs based on the defect attributes assigned to the defects.