Abstract: An inspection system includes sensors that are selectively coupled to a vehicle during an inspection and/or maintenance event for the vehicle and a controller that is operable to cause a control system of the vehicle to initiate a first operation and a different, second operation. The controller determines whether first sensor information indicative of a state of the vehicle during the first operation exists. The controller sends a command signal to the control system to direct the control system to change vehicle operations from the first operation to the second operation responsive to determining that the first sensor information is lacking. The controller obtains second sensor information from the sensors based on the second operation and determines a condition of the vehicle based on the first and/or second sensor information.

Abstract: Methods, systems, apparatus, and articles of manufacture to extend the life of embedded processors are disclosed herein. Disclosed example apparatus include a policy selector to select a policy, based on input information. The apparatus extends an operating lifespan of a microprocessor having a plurality of cores. The apparatus also includes a cores partitioner to divide, based on the selected policy, the plurality of cores into subsets of cores, including a first subset and a second subset. A sensor monitors, based on the selected policy, at least one operational parameter of the cores, and a cores switcher switches a first core of the first subset of cores from active to inactive and to switch a second core of the second subset of cores from inactive to active based on the at least one operational parameter. The switches reduce an amount of degradation experienced by the first core and the second core.

Abstract: A system for identifying likely defects with an asset within a fleet of assets comprises sensors to detect asset sensor data, user input devices/user output terminals associated with the plurality of assets, and a server device. The server device collects historical data comprising historical asset sensor data generated by the sensors and historical inspection report data from the user input devices. The server device further uses an algorithm to identify correlations in the historical data, obtains current asset sensor data generated by sensors on a given asset and/or obtains current inspection report data from a user input device associated with the given asset, calculates one or more likely defects with the asset based on the identified correlations, and based on the current asset sensor data and/or the current inspection report data, and sends the calculated likely defects to user output terminal associated with the given asset for display thereof.

Abstract: A method for estimating a Remaining Useful Life of a subject equipment, with a preliminary phase including the following steps: acquire test observations (step 10) and produce test time series (Sx) of at least one signature; partition the test time series to obtain severity classes corresponding to the ageing phases of the test equipment devices (step 14); carry out an initial learning of a diagnosis model on the test equipment devices (step 45); perform a second learning of a signature prediction model (step 51). There is also an operational phase including the following steps: acquire observations when in operation on the subject equipment and produce an extrapolated time series using the prediction model; classify the extrapolated time series using the diagnosis model and derive the remaining useful life of the subject equipment.

Abstract: An electric machine with a low profile retention assembly for retention of a stator core is disclosed. A first housing houses the stator core. The first housing has an axial end face with a circumferentially extending, shaped profile having recessed portions that project axially inward alternating with non-recessed portions. A portion of the stator core extends axially out from the recessed portions. A core retention spring is disposed circumferentially at the axial end face of the first housing. The core retention spring has direct contact with the portion of the stator core that extends axially out from the recessed portions of the first housing and the shaped profile of the housing. The core retention spring pushes against the portion of the stator core that extends that extends axially out from the first housing, imparting one or more of an axial load and radial load into the stator core.

Abstract: Methods and devices for detecting a defect in a rail of a railway track, include at least two sensors selected from among magneto-acoustic and/or piezoelectric and/or magnetostrictive transducers; each sensor being associated with a timestamping circuit of a GNSS satellite positioning system; a measuring circuit for measuring, by way of the sensors, the acousto-elastic waves propagating in the rail, the wave or signal measurements being timestamped. Some developments describe notably active and passive modes; the use of train crossings; the emission of waves; the determination of the existence and then of the position and finally the characterization of the defect, where applicable; preferred placements for installing the sensors; the use of inter-correlation, passive inverse filter or correlation of coda of correlation methods; the use of mobile robots and/or drones; the use of artificial noise sources.

Abstract: A method for determining and mitigating over-excursion of an internal mass of an electromechanical transducer may include measuring a sensed signal associated with the electromechanical transducer in response to a driving signal driven to the electromechanical transducer, determining a non-linearity value based on the sensed signal, mapping the non-linearity value to a probability of over-excursion of the internal mass, and applying a gain to a signal path configured to generate the driving signal based on the probability.

Abstract: A reliability prediction method includes: calculating a change of each of a plurality of alloy phases at a bonding portion between an electrode pad and a bonding wire; setting a generation of a metal oxide phase caused by a corrosion reaction, based on an initial crack structure of the bonding portion; calculating an elastic strain energy at each of specified portions of the bonding portion; setting a progress of a crack, based on the elastic strain energy at each of the specified portions; and predicting a lifetime of the semiconductor device, based on a length of the crack due to the progress of the crack.

Abstract: A method of adaptively controlling a brushless DC motor includes steps of: controlling the brushless DC motor rotating at a first speed according to an operation curve, accumulating a running time of the brushless DC motor, estimating a remaining used time of a bearing of the brushless DC motor according to the accumulated running time, executing an alarm operation when the remaining used time is less than a predetermined time, and decreasing the speed of the brushless DC motor to run at a second speed to prolong the used time of the bearing.

Abstract: A vibration detection device includes an A/D conversion unit for receiving a sine wave signal of an AE wave corresponding to vibration generated in a target machine from an AE sensor that detects the AE wave and converting the received sine wave signal into digital data, an extraction unit for extracting, from the digital data, a data point of a local maximum value for each cycle of the sine wave signal, and an output processing unit for outputting the data point extracted by the extraction unit and cycle data including data points with the number of points which can be recognized as a sine wave and including the data point of a local maximum value so that an output unit visibly outputs the data point and the cycle data.

Abstract: A central joint device for chassis components (2), particularly three-point link, is suggested. The central joint device comprises at least one housing unit (3), at least one joint pin unit (4) which is movably supported at least partially inside of the housing unit (3), and at least one sensor unit (5), particularly a magnetic sensor unit, which is provided for contactless detection of roll motions and pitch motions of the housing unit (3) and of the joint pin unit (4) relative to one another. The sensor unit (5) comprises at least one encoder element (6) and at least one sensor element (7). The encoder element (6) and the sensor element (7) are arranged to be spaced apart from one another and movable relative to one another.

Abstract: A method and a system for estimating remaining components life of an operational wind turbine from actual wind turbine operation conditions after it was commissioned, using a data acquisition module configured to measure real historical data of said operational wind turbine, and an additional state detection unit configured to identify historical states of operation. The method comprises extracting historical data from the data acquisition module at time intervals, identify operational states of the wind turbine, validate the identified operational states and identify uncertain data that do not match. Next, simulate a turbine model for each operational state identified and wind condition thereof at each time interval, and calculate a fatigue equivalent load for each operational state and wind condition.

Abstract: Disclosed herein are system, method, and computer program product embodiments for detecting potentially unsafe wear levels in vehicle suspension systems. An embodiment operates by receiving acoustic signals of a vehicle suspension system, processing, the acoustic signals to generate training data, training a predictive learning algorithm to generate a predictive wear model and classifying the processed acoustic signals to indicate wear levels of one or more components of the vehicle suspension system. The trained predictive wear model subsequently predicts wear levels of the vehicle suspension system for notification to a cloud-based repository. Fleets of driverless vehicles may continuously monitor wear levels for timely maintenance before failure occurs.

Abstract: A structure diagnosis apparatus 1 for diagnosing a state of a structure in which there is a small change in the natural frequency includes: a natural vibration extraction unit 2 configured to acquire, from a plurality of sensors 21 that a structure is provided with 20, vibration information indicating vibration generated in the structure 20, and extracting natural vibration using the vibration information; a spectral shape extraction unit 3 configured to extract spectral shape information indicating a shape of a spectrum using the natural vibration; an index calculation unit 4 for calculating an index indicating a relationship between the spectral shape information and reference spectral shape information that is a preset reference; and a state estimation unit 5 for estimating the state of the structure based on the index.

Abstract: A system for determining a corrosion level of a pipeline includes a corrosion coupon received from the pipeline, a database, a first computer, a second computer, a neural network, and a third computer. The database includes existing data indicative of corrosion of a plurality of previously analyzed pipelines. The first computer receives corrosion data of the corrosion coupon and uploads the corrosion data to the database. The second computer uploads calculations performed on the corrosion data to the database. The neural network receives the corrosion data and the calculations from the database and outputs a corrosion level of the pipeline based on the corrosion data and the calculations. Further, the neural network is trained on the existing data from the plurality of previously analyzed pipelines so that the corrosion level is based on a combination of the corrosion data, the calculations, and the existing data.

Abstract: Track transformations of mature digital twins from time of creation to decommissioning of the physical asset. As physical assets evolve, changes, repairs, maintenance and services relevant to the physical assets originally provided, can be applied or deemed inapplicable in the current state. Mature digital twins are leveraged to identify proposed changes to physical assets and compare original digital twins of the base asset to determine whether deviations over time render the proposed changes irrelevant. Irrelevant changes, due to deviations from the original digital twin, are further analyzed to determine whether the irrelevancy is due to a previous action performed on the physical asset and update to the mature digital twin. Previous updates to physical assets, reflected in the mature digital twin, can be eligible for rebates and incentives where the asset owners performed actions that render proposed updates irrelevant, while relevant changes are approved and permeated to mature digital twins.

Abstract: A method for monitoring switchgear, provided with a switching mechanism, including: monitoring an electric power supply signal to an electromagnetic actuator of the switching mechanism in order to detect the start of the supply of electric power to the actuator, monitoring an impact intensity measurement in the switchgear in order to detect the setting in motion of the switching mechanism, monitoring a parameter representative of the open or closed state of the switchgear in order to detect a change in state of the parameter, representative of an end of an opening or closing sequence of the switchgear. The method further includes: calculating a time TACT that has elapsed between the detection of the start of the supply of electric power to the actuator and the detection of the setting in motion of the switching mechanism of the switchgear, calculating a time TM that has elapsed between the setting in motion of the switching mechanism and the sequence end.

Abstract: Method for monitoring wear to cylinders of the cages of a rolling mill, in particular for bars or rods, including the following steps: reading by a neural network of a plurality of data relating to the initial conditions of one or more rolling cylinders, in particular one or more pairs of cylinders each belonging to a rolling cage, to the settings, and to the running of the process; and generation by the neural network of signals relating to the state of wear of the cylinders.

Abstract: A system and method for monitoring the wear of a pulley. A wear monitor pulley comprises a pulley comprising a curved shell, cylindrical body, and at least one wear monitor affixed to, or embedded in, the pulley, lagging, or backing, wherein the wear monitor transmits information about the pulley through electromagnetic fields. A method comprising affixing at least one wear monitor on a wear monitor pulley, associating information and data about the wear monitor pulley with the at least one wear monitor affixed to the at least one wear monitor pulley, transmitting a signal from the at least one wear monitor using electromagnetic fields from the at least one wear monitor to a wear monitor reader, reading the signal sent by the at least one wear monitor with the wear monitor reader, and determining whether the at least one wear monitor has sent the signal.

Abstract: The embodiments of the present disclosure provide methods and Internet of Things (IoT) systems for managing a smart gas safety hazard item based on a Geographic Information System (GIS). The method includes: obtaining gas safety hazard data of a gas pipeline network; dividing the gas pipeline network into one or more gas inspection units based on the gas safety hazard data and geographic information data of the gas pipeline network; assigning one or more gas safety hazard items to the gas inspection unit based on the gas safety hazard data corresponding to the gas inspection unit; determining a processing plan of the gas inspection unit; and determining an inspection plan based on the processing plan and a gas GIS.

Abstract: A method for estimating a mechanical degradation of a machine comprises using a drive unit of the machine to move a movable component of the machine during an evaluation period. A drive parameter is measured during the evaluation period to set up a set of input data. A cluster analysis is performed by a processor on the input data and a degradation value for the machine is determined by the processor depending on a result of the cluster analysis.

Abstract: A method for obtaining the deformation of a tire casing subjected to a load, rotating at a rotational speed W, comprises the following steps: acquiring a signal comprising the amplitude of the acceleration in the direction normal to the crown when running at the rotational speed W; delimiting the signal over a number of wheel revolutions, so as to construct a wheel revolution signal; determining a reference acceleration; defining a first energy density S which is a function of the wheel revolution signal, and of the reference acceleration, and which is denoted S+ when the wheel revolution signal is above a threshold value A, or is denoted S? when the wheel revolution signal is below or equal to said threshold value A; and identifying the deformation generated by the load as a function of the reference acceleration and of the first energy density S.

Abstract: Aspects of the subject technology relate to systems and methods for monitoring component wear to prevent premature component failure. A control system for a system having one or more mechanical or electronic components may include a life manager that monitors accumulated wear of the one or more components. The life manager may provide an alert and/or limit system operations when the accumulated wear exceeds a limit. The limit may be dynamically determined based on an operating age of the component. The limit may also be defined as a matrix of limits, each defined for a range of a particular operating condition of the component. Operating conditions may include an applied torque range for a vehicle wheel or a thermal cycle temperature range for an electronic switching component.

Abstract: The embodiments of the present disclosure provide a safety monitoring method and a safety monitoring Internet of Things system of pipe network reliability degree based on intelligent gas, wherein the method is executed by an intelligent gas pipe network safety management based on the safety monitoring Internet of Things system of pipe network reliability degree, including: obtaining reliability degree influence feature of a pipe network node; and the reliability degree influence feature include at least one of intrinsic features, and extrinsic features; determining reliability degree of the pipe network node based on the reliability degree influence feature; and determining a monitoring scheme based on the reliability degree of the pipe network node. The monitoring scheme includes a key pipe network node to be monitored.

Abstract: A transport system includes a transport path having at least two transporting modules, a carriage configured to move on the transport path, a controller provided on each of the two transporting modules and configured to drive the carriage in response to a drive command, and a sensor provided on each of the two transporting modules. The drive command is corrected with a distance between the sensors provided on the two transporting modules.

Abstract: A facility state analyzing device includes: a measurement unit that measures a load on a facility and generates, based on a measurement condition, load information representing the load being measured; an extraction unit that extracts, from the load information generated by the measurement unit, dynamic load information representing a dynamic component of the load whose dynamic fluctuation degree with a lapse of time is equal to or more than a reference; a measurement condition determination unit that determines, based on temporal transition of the dynamic load information, the measurement condition indicating a time zone during which the load information is generated; and an analysis unit that analyzes the load applied on the facility, by using the load information generated based on the measurement condition, to efficiently increase accuracy in estimating the state of the facility on the basis of a situation of the load applied to the facility.

Abstract: Systems and methods to extend a life of a component of a cylinder deactivation system are provided. A method includes generating, by a controller, an initial life factor for the component; initiating, by the controller, a CDA mode for an engine; determining, by the controller, an actual life factor for the component, the actual life factor determined by comparing a number of switching events of a cylinder in the CDA mode to a number of cycles of the cylinder in the CDA mode; comparing, by the controller, the actual life factor to the initial life factor; and modifying, by the controller based on the comparison, operation of the engine in the CDA mode to adjust the actual life factor.

Abstract: A method and apparatuses to extend the time interval between out-of-service, in-tank inspections while insuring structural integrity using a risk-based, Bayesian statistical approach comprised of a passing leak detection test, determining that the tank is not leaking, estimating a thickness of the tank floor to estimate a corrosion rate, and conducting a risk assessment using the result of the leak detection test, the corrosion rate and thickness of the tank floor, and statistical data of tank failures.

Abstract: A minimum creep life location (MCLL) on a blade for a turbine blade design is received. A temperature at the MCLL on the blade is monitored. When the temperature at the MCLL exceeds a predetermined threshold, a cooling air supply is adjusted to lower the temperature below the threshold during engine operation.

Abstract: An anomaly determination apparatus for a vehicle that includes a transmission includes an execution device and a memory device. The memory device is configured to store map data that defines pre-trained map, which has been trained through machine learning. When a variable representing time-series data of a rotation speed of a gear is fed to the map as an input variable, the map outputs a state variable representing a state of the gear as an output variable. The execution device is configured to execute: an obtaining process that obtains the variable representing the time-series data as a value of the input variable; and a determination process that determines whether there is an anomaly in the transmission based on a value of the output variable that is output by the map when the value of the input variable is fed to the map.

Abstract: The present invention discloses a system and method for structural health monitoring to identify structural anomaly and to predict structural integrity of civil structures on real time basis by evaluating feasibility of wireless structural health monitoring (SHM) of civil structures encompassing internet-of-things (IOT) and machine learning models (8). The system includes a sensor (S) connected to node processor (1, 1a, 1b, 1c, . . . 1n), physical device gateway (2), cloud gateway (4), trigger function software client (5), graphic user interface or dashboard (9) and communication module (C). The system evaluates incoming real-time engineering data on the cloud gateway (4) and allows a trigger function to route the engineering data to cloud storage (6b) and cloud analytics (6a) and alert system (6c). The system gives a single conditional statement in real-time by correlating predictions of multiple structural integrity parameters of the civil and mechanical engineering structures.

Abstract: Systems and methods for automated or computer assisted planning of pipe replacement projects includes searching a database of pipe segments each having assigned or calculated failure risk parameters. The searching algorithm looks for connected pipe segments falling within a customer's specified project size and identifies potential projects having a relatively high combined high failure risk.

Abstract: A corrosion rate estimation apparatus includes a corrosion rate measurement unit adapted to repeat water supply cycles in which water is supplied to soil in which metal to be evaluated is buried and measure a cycle number of each water supply cycle, one or more time points in each cycle, and a corrosion rate of the metal at the time point(s); a learning unit adapted to find a prediction model by accepting the cycle number, the time point(s) in the cycle, and the corrosion rate(s) as input and using a machine learning algorithm, the prediction model representing a future corrosion rate; and a corrosion rate estimation unit adapted to assign a cycle number and a time point in the cycle at which a corrosion rate is desired to be estimated to the prediction model and estimate a corrosion rate of the metal at the time point.

Abstract: A computing device of an information handling system includes an environmental control component and an environmental manager. The environmental control components identifies an aggregate amount of corrosion of a component of the information handling system; obtains a rate of corrosion associated with the component; makes a determination that the rate of corrosion indicates that the component will suffer a premature failure; in response to the determination: identifies an environmental control modification that will remediate the premature failure of the component; and updates an operation of the environmental control component based on the environmental control modification.

Abstract: Aspects of the disclosed technology provide solutions for performing vehicle routing based on road quality data. In some approaches, a process of the technology can include steps for collecting road quality data using at least one vehicle-mounted sensor, identifying two or more routes to a destination location, receiving historical road quality data associated with the two or more routes to the destination location, and calculating a damage projection associated with each of the two or more routes to the destination location, wherein the damage projection is based on the historical road quality data for at least one of the two or more routes to the destination location.

Abstract: A system comprises a server including a port, memory and processing circuitry. The port is configured to receive (i) a drawing file associated with an isometric drawing of an asset at an inspection site including indications of condition monitoring locations (CMLs) for the asset, and (ii) inspection measurement data for the asset, the inspection measurement data including inspection measurements associated with the CMLs. The memory is configured to store the drawing file and the inspection measurement data. The processing circuitry is configured to use the inspection data and the drawing file to generate, using the inspection measurement data and the drawing file, (i) survey image data for display and (ii) metadata for the survey image data, the metadata including survey image coordinates for the CMLs and the inspection measurements associated with the CMLs.

Abstract: A diagnostic apparatus includes an acquiring unit that acquires state information indicating an operational state of a motor for driving a shaft of a machine tool; a sensor that measures a physical quantity indicating an environment of the machine tool; a storage unit which stores a normal range of the state information corresponding to a value of the physical quantity; and a judging unit that, when the state information acquired by the acquiring unit is not within the normal range of the state information corresponding to the value of the physical quantity measured by the sensor, judges that the machine tool has an abnormality.

Abstract: A system may include a hose assembly and a controller. The hose assembly may comprise a plurality of sensor devices configured to generate sensor data regarding the hose assembly. The sensor data may include at least one of first sensor data regarding a bend radius of a first portion of the hose assembly, or second sensor data regarding an amount of torque at a second portion of the hose assembly. The controller may be configured to receive the sensor data from the plurality of sensor devices; determine a remaining life of the hose assembly based on the sensor data; and perform an action based on the remaining life of the hose assembly.

Abstract: A method for efficiently estimating a degree of wear of a tire in which a normalized deformation speed index is set as a wear measure. The normalized deformation speed index is obtained by normalizing an index of a deformation speed near an edge of a tire contact patch, the index being calculated from magnitudes of peaks appearing in a radial acceleration waveform obtained by differentiating tire radial acceleration detected by an acceleration sensor. The degree of wear of the tire is estimated using the wear measure, the ground contact time ratio, a worn tire approximate formula and an approximate formula when a tire is new, which have been obtained in advance and each represents a relationship between the wear measure and the ground contact time ratio obtained by running a plurality of tires having tire sizes different from each other.

Abstract: The present disclosure is directed to systems and methods for predicting risk of machine components not achieving their agreed life based on historical data. In some implementations, the predicting component risk system can obtain historical component specific time series data and component life data that correspond to a specific component of a type of machine. Using the component specific time series data and component life data, the predicting component risk system can train a time-series model. After training the model, the predicting component risk system can obtain current component specific data that includes information on the current condition and usage of the component. Using the trained time-series model, the predicting component risk system can determine a risk score for the current component specific data and notify maintenance entities of the risk. The risk score can represent the risk that the specific component does not achieve agreed life.

Abstract: A sensor system includes one or more sensors that sense vibrations of a vehicle and one or more processors that can determine a speed of the vehicle and determine whether the vibrations occurring at one or more frequencies of interest (that are based on the speed of the vehicle) indicate damage to a propulsion system of the vehicle. The one or more processors optionally may determine a hunting frequency of a wheel and axle set and/or a lateral acceleration of the wheel and axle set from the vibrations. The one or more processors can determine a conicity of a wheel in the wheel and axle set based on the hunting frequency and/or the lateral acceleration that is determined.

Abstract: A method and a system for fatigue life prediction of additive manufactured components accounting for localized material properties. The method and the system is employed for prediction of fatigue life properties of an additive manufactured element, with a data collection step in which several data points for maximum stress vs. cycles to failure for different given processing steps of the element are collected, with a training step in which a Machine Learning system is trained with the collected data, and with an evaluation step in which the trained Machine Learning system is confronted with actual processing steps and used to predict the fatigue life properties of the element.

Abstract: A system and method for data acquisition in a wireless sensor network include receiving measurements made by a plurality of sensor nodes in the wireless sensor network during a given time period, the measurements being carried in data packets that are routed from the plurality of sensor nodes to a base node. The system and method also include determining a plurality of routing paths for the data packets based on routing topology tomography. The system and method further include determining a measurement matrix and a representation basis, and acquiring sensor signals in the wireless sensor network based on the measurement matrix and the representation basis.

Abstract: Systems, methods, and apparatuses for improving future reliability prediction of a measurable system by receiving operational and performance data, such as maintenance expense data, first principle data, and asset reliability data via an input interface associated with the measurable system. A plurality of category values may be generated that categorizes the maintenance expense data by a designated interval using a maintenance standard that is generated from one or more comparative analysis models associated with the measurable system. The estimated future reliability of the measurable system is determined based on the asset reliability data and the plurality of category values and the results of the future reliability are displayed on an output interface.

Abstract: The present disclosure relates to an information processing device, an information processing method, and a program for enabling more accurate prediction of a crack to be made. A model acquisition unit acquires a structure model MD from a model generation unit, an external device (not illustrated), or the like. Amplitude load energy A in an element E0 having no cracks is set on the basis of a relationship between an equivalent stress ? and an equivalent elastic strain ? experimentally obtained according to a material constituting the element E0. Since the equivalent elastic strain ? depends on a crack variable ?, the amplitude load energy A is expressed as a function of the crack variable ?. A crack prediction unit predicts a crack to be generated in a structure D by calculating a differential equation having a term proportional to the amplitude energy. The present disclosure can be applied to, for example, a crack prediction device that predicts a crack.

Abstract: There is provided a load controller for a system, the system comprising a first sub-system arranged to deliver a first load, the load controller being operable to: acquire a first target load profile, being the load initially desired for delivery by the first sub-system over an operational period; measure in real time during an update window within the operational period: a first parameter of the first sub-system, to obtain a first measured Load Controller monitor signal; and the first load, to obtain a first measured load signal; develop in real time a model of the first sub-system, using the first measured monitor signal and the first measured load signal, the model relating the first load to the first parameter; given the first target load profile, and the model of the first sub-system, generate for a future period a first predicted monitor signal, the future period being ahead of the update window; and determine whether the first predicted monitor signal satisfies at least one predetermined criterion.

Abstract: A wind turbine generator fault detection method is described. The method includes obtaining a first signal from a generator of a wind turbine and a second signal from a vibration sensor coupled to the wind turbine, the first signal representing an output current of the generator, and the second signal being a time-sampled signal representing vibrations of a bearing in the wind turbine. Determining a shaft rotation frequency signal from the first signal, the shaft rotation frequency signal representing a time-varying rotational speed of a shaft of the wind turbine. Resampling an envelope of the second signal based on the shaft rotation frequency signal to provide a third signal, the third signal being an angular sampled signal. Detecting, by the at least one processor, a fault in the bearing of the wind turbine by identifying a characteristic signature of a bearing fault in the third signal.

Abstract: A computer is configured to enable a rapid, consistent, ply-by-ply, quantitative analytical assessment of various Finite Element Method (FEM) material models based on metrics defined for impact damage. Additionally, the computer is configured to provide a method for determining the accuracy of such FEM material model(s) by comparing the output of those models to non-destructive evaluation (NDE) test data.

Abstract: A contamination sensor for a gas turbine engine is disclosed herein. The contamination sensor is made of a selected composition of material and includes a base alloy, an alloy for improving oxide formation, and at least one element from the transition metal group. The composition of the contamination sensor can be adjusted to react with specific contaminants at specific temperature ranges.

Abstract: A processing device (120) of a tire state detection system (100) is provided with an acceleration data acquisition unit (123) for acquiring the acceleration data detected by an acceleration sensor (111) at every predetermined acquisition interval, an acceleration data extraction unit (125) for extracting the maximum acceleration data indicating at least the maximum acceleration and the intermediate acceleration data indicating the intermediate acceleration excluding the minimum acceleration data indicating the minimum acceleration from 3 or more acceleration data acquired sequentially, and a calculation unit (127) for executing an calculation using the extracted intermediate acceleration data.