Abstract: The present invention relates to a power transformer asset management device and a method thereof, the device according to the present invention including: a full cycle database managing full cycle data of a power transformer; a physical performance evaluation unit performing physical performance evaluation that calculates a health index by analyzing and weighting life information, a failure ratio, operation history, and status information of a preventive diagnosis system from the full cycle data; a risk evaluation unit performing risk evaluation by generating a risk matrix using the physical performance evaluation result; an economic evaluation unit performing economic evaluation by evaluating costs over a full cycle of the power transformer; and an asset management unit establishing an investment plan for replacing the power transformer according to a maintenance priority of the power transformer determined using the physical performance evaluation result, the risk evaluation result, and the economic evalua

Abstract: The invention provides a fuzzy curve analysis based soft sensor modeling method using time difference Gaussian process regression, it is suitable for application in chemical process with time delay characteristics. This method can extract stable delay information from the historical database of process and introduce more relevant modeling data sequence to the dominant variable sequence. First of all, the method of fuzzy curve analysis (FCA) can intuitively judge the importance of the input sequence to the output sequence, estimate the time-delay parameters of process, and such offline time-delay parameter set can be utilized to restructure the modeling data. For the new input data, based on the historical variable value before a certain time, the current dominant value can be predicted by time difference Gaussian Process Regression (TDGPR) model. This method does not encounter the problem of model updating and can effectively track the drift between input and output data.

Abstract: Systems and methods provide for managing a power consumption policy for a powered device. A network controller may be configured to receive power consumption information for a powered device (PD) connected to power sourcing equipment (e.g., a PSE device), calculate a predicted threshold for the PD based on the power consumption information for the PD, and transmit the predicted threshold for the PD to the PSE device. Power sourcing equipment is configured to calculate power consumption information for the PD, transmit the power consumption information for the PD to the network controller, receive a predicted threshold for the PD, and implement a power consumption policy for the PD based on the predicted threshold.

Abstract: A system and apparatus is disclosed to automatically determine the identification and selected information relating to instruments. The identification information may be read or determined by various reader systems and then transferred for various purposes. The identification information may be stored on the instrument with a storage system or printing and/or recalled from a memory once the identification is made.

Abstract: A service data transmission method, user equipment, and a network device are provided. The method includes: determining, by a network device, a control message used to indicate at least two SPS configurations, and sending the control message to user equipment; and receiving, by the user equipment, the control message sent by the network device, and activating the at least two SPS configurations based on the control message, where each of the at least two activated SPS configurations is used to transmit corresponding service data. In embodiments of the present invention, at least two SPS configurations can be simultaneously performed, thereby improving service data transmission efficiency.

Abstract: In an embodiment, a system for generating a motor wear metric includes a process configured to obtain a signal associated with a motor of an aircraft, determine a motor wear metric based at least in part on the obtained signal, and output information about motor wear based at least in part on the determined motor wear metric. The system includes a memory coupled to the processor and configured to provide the processor with instructions and store the determined motor wear metric.

Abstract: A robot including a movable portion, a controller, and a storage unit that stores maintenance timing information regarding at least one of the movable portion and the controller. The controller performs predetermined notification processing based on a comparison between elapsed time information and the maintenance timing information. The movable portion and the control apparatus are placed in a predetermined work site on which a second robot is installed. The controller corrects the maintenance timing information or the elapsed time information using information received from the second robot.

Abstract: A method of minimizing components of a heating, ventilation, and air conditioning (HVAC) system from malfunctioning, the method includes measuring, by an accelerometer associated with at least one component of the HVAC system, vibration of the at least one component and receiving, by a controller, actual vibration data reflective of the measured vibration. The method further includes determining, using the controller, whether the actual vibration data is greater than pre-defined acceptable baseline vibration data by more than a pre-defined acceptable amount and responsive to a positive determination in the determining step, adding, by the controller, as a deadband frequency, an operational frequency of the at least one component corresponding to the actual vibration data.

Abstract: A method for generating a report regarding prioritizations of industrial automation devices in an industrial system may include determining a first score for each of the industrial automation devices. The first score represents a relative importance of each of the industrial automation devices. The method may also include determining a second score for each of one or more parts of each of the industrial automation devices. The second score represents a relative importance of each of the parts with respect to each other. The method may also include generating the report comprising the parts, the industrial automation devices, the first score for each of the industrial automation devices, the second score for each of the parts, or any combination thereof, wherein the report is organized according to the first score, the second score, or based on a combination of the first score and the second score.

Abstract: A process for monitoring the concentration of bacteria in the water of a water distribution network, wherein the process includes the following steps: measuring the concentration of bacteria in the water by means of a first sensor positioned at a first location in the water distribution network, determining a variable instantaneous value of the expected concentration of bacteria in the water at the first location as a function of a parameter characteristic of the water, comparing the concentration of bacteria in the water measured by the first sensor to the variable instantaneous value, corrective action acting on the concentration of bacteria in the water if the concentration of bacteria in the water measured by the first sensor exeeds the variable instantaneous value. A device for monitoring the concentration of bacteria in the water of a water distribution network is also provided.

Abstract: The disclosure provides a stochastic look-ahead dispatch method for power system based on Newton method, belonging to power system dispatch technologies. The disclosure analyzes historical data of wind power output, and uses statistical or fitting software to perform Gaussian mixture model fitting. A dispatch model with chance constraints is established for system parameters. Newton method is to solve quantiles of random variables obeying Gaussian mixture model, so that chance constraints are transformed into deterministic linear constraints, thus transforming original problem to convex optimization problem with linear constraints. Finally, the model is solved to obtain look-ahead dispatch. The disclosure employs Newton method to transform chance constraints containing risk level and random variables into deterministic linear constraints, which effectively improves model solution efficiency, and provides reasonable dispatch for decision makers.

Abstract: A system and apparatus is disclosed to automatically determine the identification and selected information relating to instruments. The identification information may be read or determined by various reader systems and then transferred for various purposes. The identification information may be stored on the instrument with a storage system or printing and/or recalled from a memory once the identification is made.

Abstract: The present invention relates to a precise predictive maintenance method for a driving unit and a configuration thereof includes a first base information collecting step S10 of collecting change information of an energy size; a second base information collecting step S20 of connecting an energy value of a second peak of a driving period to an energy value of a second peak in repetitive another driving period; a setting step S30 of setting an alarm gradient value for the second peak energy value, and a detecting step S40 of detecting the driving unit as an abnormal state.

Abstract: The present invention relates to a precise predictive maintenance method for a driving unit and a configuration thereof includes a first base information collecting step S10 of collecting change information of an energy size, a second base information collecting step S20 of collecting a peak interval, a setting step S30 of setting an alarm gradient value for the peak interval, and a detecting step S40 of detecting the driving unit as an abnormal state.

Abstract: A configuration that maintains productivity and can automatically execute and control recipes includes a process chamber that processes a substrate, a first transfer chamber in which the substrate is transferred in a vacuum state, a second transfer chamber in which the substrate is transferred in an atmospheric pressure state, a depressurizable preparatory chamber connecting the first transfer chamber and the second transfer chamber, and a controller that executes a maintenance recipe in the preparatory chamber and a production recipe in the process chamber, respectively, in which, when the controller receives an instruction for executing the production recipe during execution of the maintenance recipe, the controller temporarily stops the maintenance recipe and preferentially executes the production recipe, and continuously executes the temporarily stopped maintenance recipe, after completion of the production recipe.

Abstract: Provided herein are techniques related to an industrial system that may have a plurality of industrial automation devices, a database that has a plurality of location datasets that correspond to the plurality of industrial automation devices, and a monitoring system that may communicate with the industrial automation devices via a network and the database. The monitoring system may send a first request to the industrial automation devices in the industrial system to identify an industrial automation device having an active maintenance status. The active maintenance status may be indicative of a maintenance request for the industrial automation device. The monitoring system may send a second request to the database for a location dataset associated with the industrial automation device, generate a visualization that includes the active maintenance status and the location dataset associated with the industrial automation device, and display the visualization via an electronic display.

Abstract: A method for adjusting a complex index with inherent anomalies due to the presence of multiple quality levels of the same indexed characteristic in a single sample. Select embodiments of the present invention provide for adjusting the complex index where at least two or three quality levels of the same characteristic are present in the inspection sample. Various embodiments of the present invention provide an adjustment for a pavement condition index (PCI) established with ranges of severity estimated as low, medium and high for each distress type.

Abstract: A method and system for implementing histogram-based alarms in a production system. Specifically, the method and system disclosed herein entail generating histograms overlaid with frequency (i.e., number of data samples) based class policies to serve as data classifiers for measurements, metrics, or information produced by physical and/or logical sensors. The accurateness of histograms to represent distributions of data, however, may depend on certain constraints—one of which may be the number of intervals or buckets employed. Therefore, disclosed herein is also a methodology for identifying an optimal number of buckets, for particular sensor specific datasets, based on a maximum samples trend and an empty buckets trend associated with the datasets.

Abstract: The disclosure provides a stochastic dynamical unit commitment method for power system based on solving quantiles via Newton method, belonging to power system technologies. The method establishes a unit commitment model with chance constraints for power system parameters. Quantiles of random variables obeying mixed Gaussian distribution is solved by Newton method, and chance constraints are transformed into deterministic linear constraints, so that original problem is transformed into mixed integer linear optimization problem. Finally, the model is solved to obtain on-off strategy and active power plan of units. The disclosure employs Newton method to transform chance constraints containing risk level and random variables into deterministic mixed integer linear constraints, which effectively improves the model solution efficiency, eliminates conservative nature of conventional robust unit commitment, provides reasonable dispatch basis for decision makers.

Abstract: Processing of data relating to energy usage. First data relating to energy usage is loaded for analysis by an energy management platform. Second data relating to energy usage is stream processed by the energy management platform. Third data relating to energy usage is batch parallel processed by the energy management platform. Additional computing resources, owned by a third party separate from an entity that owns the computer system that supports the energy management platform, are provisioned based on increasing computing demand. Existing computing resources owned by the third party are released based on decreasing computing demand.

Abstract: A system electronically tracks each or multiple shipment-related entities as a group of co-located dots that are monitored to provide enhanced security of the shipment from attacks or unauthorized or illicit actions that can compromise the shipment's safety. A data processing system (DPS) receives a plurality of location tracking signals of multiple shipment-related entities, associates the location tracking signals as a shipment group that is assigned a unique shipment tracking identifier (STID), and presents the shipment group as a plurality of co-located dots on a shipment tracking user interface (STUI). The DPS monitors for any unscheduled deviations in at least one of an expected co-location/geo-location of the location tracking signals, identifies specific types of unscheduled deviations, and triggers a series of responsive actions to protect the shipment.

Abstract: A method of detecting abnormal test signal channel of automatic test equipment firstly obtains a raw test data and then divides into the data groups according to a mapping data. The test data of DUTs in one data group are generated by the same group of probes. A yield of each data group is further estimated. A yield of a wafer is further estimated when the yield of the data group matches a first failure threshold. An abnormal test signal channel is determined when the yield of the wafer does not match a second failure threshold or the yield of the wafer matches the normal threshold. Therefore, to add the detecting method in an original test procedure of the ATE, the operator easily identifies which blocks in the failure color on the test data map are caused by the abnormal test signal channel.

Abstract: A method for evaluating a rate of change of a failure between a first unit type and a second unit type of an avionic system, the method taking into account, for each aircraft comprising the unit type, the number of flights made and the number of fault messages associated with the failure.

Abstract: A multi-platform industrial search system facilitates indexing and searching of plant-wide data residing on multiple different data platforms. The industrial search system automatically inventories industrial devices and other data sources located throughout a plant, and identifies available data items on each data source. The search system indexes the discovered data items in a federated data model that can subsequently be searched to locate data items or tags of interest. The federated data model records references to data items found on different types of data sources, including but not limited to industrial controller programs, human-machine interface applications, data historians, device documentation stores, inventory tracking systems, and other such data sources. The search system can also initiate automated searches of the federated data model in response to detected performance issues and deliver notifications and contextual information to plant personnel.

Abstract: A system, method, and computer-readable medium for performing a system failure identification operation, comprising: receiving information regarding a device a repair depot; performing a depot triage process on the device, the depot triage recording possible causal factors contributing to failure of the device; determining suspected failures associated with the device based upon symptoms exhibited by the device; and, correlating the suspected failures with commodities for use in repairing the device.

Abstract: A process and tool for monitoring the status, health, and performance of wear parts used on earth working equipment. The process and tool allow the operator to optimize the performance of the earth working equipment. The tool has a clear line of site to the wear parts during use and may be integrated with a bucket or blade on the earth working equipment.

Abstract: A method for evaluating system performance can include comparing a test average of instances of variables of test system variables to a baseline average of a baseline variables. Each of the instances of the variable of the test system variables may be shifted by a shift amount for a subset of the variables. A modified test data set may be generated from the shifted test data set. The modified test data set may be transformed with a sparse principal component analysis into test components. The test components may be compared to baseline components using a Hotelling T2 as a test statistic. Performance of the system may be quantified based upon the test statistic.

Abstract: An output prediction device for a fuel cell includes: a first acquisition circuitry configured to acquire a first required output of the fuel cell, the first required output being calculated based on a predicted vehicle speed or a predicted acceleration of a vehicle on a scheduled traveling route for the vehicle, the vehicle traveling by using the fuel cell as a dynamic power source; a second acquisition circuitry configured to acquire a second required output of the fuel cell, the second required output being required by an air-conditioning device of the vehicle; and a calculation circuitry configured to calculate a parameter correlated with a predicted output value of the fuel cell, based on the first required output and the second required output, the predicted output value being predicted as an output on the scheduled traveling route.

Abstract: A technique is provided for providing early fault detection using process control data generated by control devices in a process plant. The technique determines a leading indicator of a condition within the process plant, such as a fault, abnormality, or decrease in performance. The leading indicator may be determined using principal component analysis. A process signal indicating a process variable corresponding to the leading indicator is then obtained and analyzed. A rolling fast Fourier transform (FFT) may be performed on the process signal to generate time-series data with which to monitor the process plant. When the presence of the leading indicator is detected in the time-series data, an alert or other prediction of the condition may be generated. Thus, process faults may be identified using fluctuations and abnormalities as leading predictors.

Abstract: A computer-implemented method includes receiving a plurality of values of a data stream, where the plurality of values are generated by a monitored device and received in real time. One or more statistical moments of the data stream are updated, by a computer processing device, based on each value of the plurality of values. Each value of the plurality of values is discarded, after updating the one or more statistical moments of the data stream based on that value. A threshold is set for the data stream based on the one or more statistical moments. It is detected that the threshold has been passed by the data stream. A remedial action is performed on the monitored device, responsive to the threshold being passed, where the remedial action is associated with the threshold.

Abstract: A monitoring method, a monitoring device and a monitoring system are provided. The method includes: acquiring detected state information of an object to be checked within preset spot check time; receiving monitoring information, where the monitoring information includes spot check notification information fed back by a spot check device, a verification result based on the state information indicating whether spot check data of the object to be checked is true and transmitted by a terminal or a server, and at least one or any combination of execution instructions generated based on the verification result, where the spot check notification information includes the spot check data; and generating and/or executing the execution instruction for the object to be checked in a case where the monitoring information indicates that the spot check data is not true.

Abstract: The present disclosure describes aspects of ripple current reduction for wireless electric vehicle charging. In some aspects, an apparatus for wireless power transmission includes an inverter circuit to provide alternating current and a resonant circuit having a tuning portion and a coil portion to transmit power based on the alternating current. The apparatus also includes a current sensor to provide an indication of peak-to-peak amplitude (e.g., ripple current) of the alternating current that flows to the coil portion of the resonant circuit. Based on this indication, a control signal of the inverter is altered to adjust the peak-to-peak amplitude of the alternating current, such as to reduce ripple current in the coil portion. By so doing, ripple current can be reduced in power-transmitting or power-receiving devices, which may improve power transmission efficiency, enable use of smaller decoupling capacitors, or reduce stress on elements of respective resonant circuits.

Abstract: An exhaust purification system of the internal combustion engine comprises: an upstream side catalyst 20 arranged in an exhaust passage, a downstream side catalyst 24 arranged at a downstream side of the upstream side catalyst, an air-fuel ratio sensor 41 detecting an air-fuel ratio of outflowing exhaust gas flowing out from the upstream side catalyst, an air-fuel ratio control part 31 controlling an air-fuel ratio of inflowing exhaust gas flowing into the upstream side catalyst to a target air-fuel ratio, and a temperature calculating part 32 calculating a temperature of the downstream side catalyst. The air-fuel ratio control part switches the first control to the second control when a temperature of the downstream side catalyst calculated by the temperature calculating part rises to a reference temperature which is equal to or higher than an activation temperature of the downstream side catalyst.

Abstract: A system includes a central processing unit (CPU), a first input/output (I/O) module, and a second I/O module. The first I/O module includes a first module health controller operatively connected to the CPU. The second I/O module includes a second module health controller operatively connected to the first module health controller and the CPU. One of the first module health controller and the second module health controller is configured to assert a paired module health signal to the CPU indicating that the first I/O module and the second I/O module are health.

Abstract: A photovoltaic (PV) system includes module-level power electronic (MLPE) devices that produce energy. The PV system includes a gateway to receive and send data to MLPE devices. The gateway also connects the PV system with a network, such as a local area network, that allows access to the Internet. The gateway provides functionality within the PV system to perform various processes to improve operation of MLPE devices.

Abstract: A method and system for analyzing captured vehicle parts alteration data and correlating with vehicle service procedures to identify service completion and anomalies is disclosed. The method and system includes loading captured vehicle parts alteration data for a particular vehicle from a vehicle history module, the vehicle parts alteration data being captured by one or more sensors and stored in the vehicle history module, identifying predefined service procedure events and corresponding procedural steps for the particular vehicle, analyzing the captured vehicle parts alteration data for one or more events that match the predefined service procedure events; and for each service procedure event matched, automatically identifying anomalies by one or more of: identify procedural steps that have been completed and procedural steps that have not been completed and identifying procedural steps that were done that are not in one of the predefined service procedure events.

Abstract: Examples disclosed herein relate to log events for root cause error diagnosis. A deep learning model including parameters that are trained to identify relevance of log event information to diagnose root cause errors associated with a computing device is used. In one example, log event information is received. The log event information is processed according to the deep learning model to determine, for each log event, whether to store the log event information in a buffer based on relevance of the log event information to diagnosis of root cause errors.

Abstract: Provided are a yawing control method and a yawing control device for a wind turbine. The yawing control method includes: acquiring first wind information at a current moment characterized by current operation data of a neighbor wind turbine adjacent to the wind turbine when at least one of a wind direction sensor and a wind direction data uploading path of the wind turbine fails; acquiring second wind information matched with the first wind information in wind information characterized by historical operation data of the wind turbine at all moments; and performing yawing control on the wind turbine based on the second wind information.

Abstract: There is described a method and a system for monitoring a medical, in particular dental, device comprising at least two components, wherein at least one process parameter of the medical device which is sensitive to the functioning of the at least two components, is measured and stored for a plurality of operation cycles of the medical device and a maintenance requirement is recorded, when the process parameter reaches at least one preset and/or over a plurality of operation cycles calculated reference value, wherein a control unit assigns a maintenance requirement to one of the at least two components based on probabilistic evaluation of the recorded process parameters.

Abstract: Techniques relate to facilitating assignments of tasks to promote efficient resource timetables. A first communication from a client device is received that corresponds to an electronic request to sue a resource to complete a task. A task type of the task and a client corresponding to the electronic request are identified. Usage data corresponding to the task type and client are identified. A task-assignment duration is defined based on the usage data and a buffer time period. An availability in a timetable of a resource that is of a duration that is at least as long as the task-assignment duration is identified. A second communication identifying a start time of the availability is transmitted to the client device. A third communication is received that accepts the start time, and a fourth communication is transmitted to a device controlling use of the resource that identifies the client, task and availability.

Abstract: An example method includes determining a plurality of frequency ranges corresponding to a plurality of types of errors, where the plurality of frequency ranges are associated with sounds occurring during operation of a robotic device. The method also includes detecting, based on sensor data from at least one audio sensor of the robotic device, a sound during a given operation of the robotic device. The method also includes determining that a frequency of the detected sound is within a particular frequency range of the plurality of frequency ranges. Based on the frequency being within the particular frequency range, the method also includes determining a type of error of the plurality of types of errors corresponding to the particular frequency range. The method also includes providing an output signal indicating an error of the determined type.

Abstract: Examples disclosed herein relate to a baseboard management controller (BMC) capable of execution while a computing device is powered to an auxiliary state. The BMC is to process an error log according to a deep learning model to determine one of multiple field replaceable units to deconfigure in response to the error condition. The BMC is to deconfigure the field replaceable unit. The computing device is rebooted. In response to the reboot of the computing device the BMC is to determine whether the error condition persists.

Abstract: A system and apparatus is disclosed to automatically determine the identification and selected information relating to instruments. The identification information may be read or determined by various reader systems and then transferred for various purposes. The identification information may be stored on the instrument with a storage system or printing and/or recalled from a memory once the identification is made.

Abstract: An image diagnosis assistance apparatus is configured to display a plurality of cross-sectional images on a display unit by sequentially switching the plurality of cross-sectional images; obtain user sight-line information including position information on a display screen of the display unit; and obtain a switching speed for switching the plurality of cross-sectional images. The image diagnosis assistance apparatus is configured to determine an observed area with respect to the plurality of cross-sectional images displayed on the display unit based on the obtained sight-line information and switching speed.

Abstract: An apparatus for updating an operation plan of a high-temperature component based on operation performance. The apparatus includes: a display unit which displays an operation plan of multiple high-temperature components which are mounted upon a device; a storage unit which stores, for each device, at least initial setting data including information regarding operation start times of the high-temperature components and scheduled times for carrying out periodic inspections of the high-temperature components; an operation plan creation unit which, using the initial setting data, generates data of the operation plan including operation intervals of the high-temperature components from the operation start times to the scheduled times for carrying out the periodic inspections, and stores same in the storage unit for each device; and an operation plan update unit which updates the operation plan data which is displayed on the display unit, based on the high-temperature component operation performance information.

Abstract: A system and method as disclosed herein develops a predicted current remaining useful life (RUL) of a component through a generalized fault and usage model that is designed through a process of simplifying Paris' Law (or other power law) in conjunction with a Kalman Smoother (or other filtering technique). One of the many advantages of this state observer technique is that the backward/forward filtering technique employed by the Kalman Smoother has no phase delay, which allows for the development of a generalized, zero tuning model that provides an improved component health trend, and therefore a better estimate of the predicted current RUL.

Abstract: A system and method includes a structural body, a plurality of structural health monitoring (SHM) sensors, and first and second computer systems. The structural body includes a plurality of structures. The SHM sensors are configured to sense structural health data for a plurality of zones of the structures. The first computer system is configured to collect the structural health data from the SHM sensors. The second computer system includes a display and is configured to receive the structural health data from the first computer system and groups the zones into a plurality of structural regions, and groups the plurality of structural regions into at least one structural area. The display is configured to provide a visual representation of a structural region health of a first one of the plurality of structural regions based on the structural data for respective ones of the zones within the first one of the plurality of structural regions.

Abstract: A cell controller of a system includes: a sensor management part that collectively manages information from a sensor; a workpiece management part that monitors at least one of the stroke and the state amount of a workpiece, the stroke and state amount being included in the information from the sensor; and a task management part that selects the workpiece to be handled based on the task request from a machine controller and at least one of the stroke and the state amount of the workpiece, and transmits information on the workpiece to be handled to the machine controller.

Abstract: A computer-implemented method includes receiving a vehicle condition query via a computer network and retrieving condition data corresponding to a vehicle from a vehicle condition database. Further, the method includes determining a condition of the vehicle based on a collective analysis of the condition data, wherein the condition of the vehicle relates to at least one of a quality or a value of the vehicle, and developing one or more condition descriptors reflecting the condition of the vehicle. Still further, the method includes generating a vehicle condition report including an indication of the one or more condition descriptors and communicating, via the computer network, the vehicle condition report to a remote computing device for presentation to a user of the remote computing device.

Abstract: A method is provided for analyzing energy or environmental factors relative to energy. One or more processors of a data management system receives a plurality of signals relating to a plurality of streams of data. The signals directed to at least one of: energy physical assets, energy related environment factors, energy availability, energy usage and energy source. A data transformer is used to transform the data to item and attribute characterizations. The data transformer uses a processor to organize the first, second and third streams of data according to their associated items and attributes. One or more analytic engines are used to receive the items with their attributes from the data management system and provide multi-dimensional analysis relative to a scale of study for at least one business intelligence, where multi-dimensional analysis is defined as analysis that compares, calculates, correlates, or operates on items and/or attributes from at least two distinct dimensions.