Abstract: Methods and systems for estimating wear damage of a rolling-element bearing system including at least one rolling-element bearing are provided. A first number of first condition indicators representative of the wear damage of the at least one rolling-element bearing are generated. A second number of second condition indicators are generated based on the first plurality of first condition indicators. The second number is less than the first number an indication of the wear damage of the at least one rolling-element bearing is generated based on the second number of second condition indicators.

Abstract: A system and method are provided for monitoring vibration data. A vehicle, for example, may include at least one engine component, a sensor coupled to the at least one engine component and configured to monitor a vibration of the at least one engine component, and a processor communicatively coupled to the sensor, the processor configured to determine a plurality of envelope spectrums based upon vibration data from the sensor, determine fault frequencies for each of the at least one engine component based upon a rotating speed of each of the at least one components, and monitor each envelope spectrum for changes at the determined fault frequencies.

Abstract: Systems and methods for isolating a performance anomaly within one or more line replaceable units (LRUs) on a gas turbine engine by monitoring the start up transient are presented. The system comprises a set of sensors, an anomaly detector and a fault isolation reasoner. Each sensor of the set monitors at least one operating parameter of at least one engine component. The anomaly detector is configured to detect an anomaly in a component by comparing a particular value of an operating parameter to a base line value of that parameter. The specific cause of the startup anomaly is isolated utilizing a set of component reasoners that is based on the nature of the detected anomaly. The key events during the engine startup are identified by the combination of monitoring physically relevant phases of a startup and monitoring the engine control schedule. The values at these key events are used for comparing at the anomaly detector.

Abstract: A method of calibrating a radar-based vibration sensor that includes a radar head coupled to a vibration device includes disposing the vibration sensor at a fixed distance from a target, and transmitting radio frequency (RF) signals toward, and receiving RF signals reflected by, the target. An excitation voltage is supplied, at a plurality of different excitation frequencies, to the vibration device to cause the vibration sensor to vibrate. Vibration sensor acceleration is determined at each of the different excitation frequencies. A calibration curve is generated based on the determined vibration sensor acceleration at each of the different excitation frequencies, and on the reflected RF signals at each of the different excitation frequencies.

Abstract: A method for dynamic image manipulation and a mobile terminal supporting the same are disclosed. The method for dynamic image manipulation includes: outputting at least one thumbnail; receiving an input event; and performing image change by changing at least one of the shape, color and transparency of the output thumbnail according to properties of the input event.

Abstract: Systems and methods for isolating a performance anomaly within one or more line replaceable units (LRUs) on a gas turbine engine by monitoring the start up transient are presented. The system comprises a set of sensors, an anomaly detector and a fault isolation reasoner. Each sensor of the set monitors at least one operating parameter of at least one engine component. The anomaly detector is configured to detect an anomaly in a component by comparing a particular value of an operating parameter to a base line value of that parameter. The specific cause of the startup anomaly is isolated utilizing a set of component reasoners that is based on the nature of the detected anomaly. The key events during the engine startup are identified by the combination of monitoring physically relevant phases of a startup and monitoring the engine control schedule. The values at these key events are used for comparing at the anomaly detector.

Abstract: A computer implemented method and system includes using information provided from sensors to monitor a wind turbine generator and provide signals representative of operation of the wind turbine generator, extracting signal level features from the signals, extracting model based features from the signals, calculating signal based conclusions, model based conclusions and spectral feature reinforcement based conclusions, and fusing the conclusions to provide a fault detection indication.

Abstract: Devices, methods, and systems for turbine fault analysis are described herein. One computing device implemented method for turbine failure analysis includes collecting a first set of data associated with wind turbine performance, via a computing device, analyzing the first set of data to determine whether the first set of data can indicate a fault condition, and reviewing a second set of data associated with wind turbine performance to determine if a fault condition exists.

Abstract: An inertial navigation system (INS) includes a primary inertial navigation system (INS) unit configured to receive accelerometer measurements from an accelerometer and angular velocity measurements from a gyroscope. The primary INS unit is further configured to receive global navigation satellite system (GNSS) signals from a GNSS sensor and to determine a first set of kinematic state vectors based on the accelerometer measurements, the angular velocity measurements, and the GNSS signals. The INS further includes a secondary INS unit configured to receive the accelerometer measurements and the angular velocity measurements and to determine a second set of kinematic state vectors of the vehicle based on the accelerometer measurements and the angular velocity measurements. A health management system is configured to compare the first set of kinematic state vectors and the second set of kinematic state vectors to determine faults associated with the accelerometer or the gyroscope based on the comparison.

Abstract: Methods and systems for estimating wear damage of a rolling-element bearing system including at least one rolling-element bearing are provided. A first number of first condition indicators representative of the wear damage of the at least one rolling-element bearing are generated. A second number of second condition indicators are generated based on the first plurality of first condition indicators. The second number is less than the first number an indication of the wear damage of the at least one rolling-element bearing is generated based on the second number of second condition indicators.

Abstract: A computer implemented method and system includes using information provided from sensors to monitor a wind turbine generator and provide signals representative of operation of the wind turbine generator, extracting signal level features from the signals, extracting model based features from the signals, calculating signal based conclusions, model based conclusions and spectral feature reinforcement based conclusions, and fusing the conclusions to provide a fault detection indication.

Abstract: Methods and systems are provided for detecting temporal relationships that are uniquely associated with a selected root cause. The method comprises identifying error codes associated with a root cause, wherein each error code comprises a plurality of event indicators and temporal data describing when the event indicator was generated, analyzing each of the error codes to detect a combination of event indicators that is associated with error codes corresponding to the selected root cause and to a non-selected root cause, and detecting a temporal relationship involving the combination of event indicators, wherein the temporal relationship is uniquely associated with error codes corresponding to the selected root cause.

Abstract: Systems and methods for isolating a performance anomaly within one or more line replaceable units (LRUs) on a gas turbine engine by monitoring the start up transient are presented. The system comprises a set of sensors, an anomaly detector and a fault isolation reasoner. Each sensor of the set monitors at least one operating parameter of at least one engine component. The anomaly detector is configured to detect an anomaly in a component by comparing a particular value of an operating parameter to a base line value of that parameter. The specific cause of the startup anomaly is isolated utilizing a set of component reasoners that is based on the nature of the detected anomaly. The key events during the engine startup are identified by the combination of monitoring physically relevant phases of a startup and monitoring the engine control schedule.

Abstract: Methods and system are provided for detecting combinations of performance indicators that are associated with a root cause. The method comprises storing a plurality of error codes, each representative of at least one performance indicator, storing descriptive data associated with each of the plurality of error codes, storing a plurality of root causes, each associated with descriptive data that corresponds to the descriptive data of the plurality of error codes, identifying the error codes from the plurality of error codes that correspond to at least one of the plurality of root causes, and analyzing the error codes that correspond to at least one root cause to determine combinations of performance indicators that are associated with the root cause.

Abstract: A system and method is provided that facilitates improved fault detection. The fault detection system provides the ability to detect symptoms of fault in the fuel system of a turbine engine. The fault detection system captures selected data from the turbine engines that is used to characterize the performance of the fuel system. The fault detection system includes a feature extractor that extracts salient features from the selected sensor data. The extracted salient features are passed to a classifier that analyzes the extracted salient features to determine if a fault is occurring or has occurred in the turbine engine fuel system. Detected faults can then be passed to a diagnostic system where they can be passed as appropriate to maintenance personnel.

Abstract: Methods and systems are provided for detecting temporal relationships that are uniquely associated with a selected root cause. The method comprises identifying error codes associated with a root cause, wherein each error code comprises a plurality of event indicators and temporal data describing when the event indicator was generated, analyzing each of the error codes to detect a combination of event indicators that is associated with error codes corresponding to the selected root cause and to a non-selected root cause, and detecting a temporal relationship involving the combination of event indicators, wherein the temporal relationship is uniquely associated with error codes corresponding to the selected root cause.

Abstract: Methods and system are provided for detecting combinations of performance indicators that are associated with a root cause. The method comprises storing a plurality of error codes, each representative of at least one performance indicator, storing descriptive data associated with each of the plurality of error codes, storing a plurality of root causes, each associated with descriptive data that corresponds to the descriptive data of the plurality of error codes, identifying the error codes from the plurality of error codes that correspond to at least one of the plurality of root causes, and analyzing the error codes that correspond to at least one root cause to determine combinations of performance indicators that are associated with the root cause.

Abstract: A method of diagnosing a turbine engine includes the steps of acquiring engine operating parameters; calculating corresponding engine residual values; computing the mean and the standard deviation of each engine residual value; normalizing dynamically each engine residual value to yield normalized engine residuals; mapping, via a cluster technique mapping, the normalized engine residuals as input vectors into an engine condition space having clusters representing either normal vector engine conditions or faulty vector engine conditions; and identifying a closest cluster within the engine condition space to determine whether the engine under analysis is normal or faulty. A belief factor may be obtained as a function of the distances between the input vectors and specific clusters.

Abstract: A system and method is provided for startup characterization in a turbine engine that provides the ability to accurately characterize engine startup. The startup characterization system and method uses engine temperature sensor data and engine speed sensor data to accurately characterize the startup of the turbine engine by determining when several key engine startup conditions are reached. By storing and analyzing engine sensor data taken during these key conditions of engine startup, the system and method is able to accurately characterize the performance of the engine during startup. This information can be used as part of a trending system to determine when faults in the start transient regime are occurring or likely to occur. Additionally, this information can be used in real time by control systems to better control the startup and operation of the turbine engine.

Abstract: Methods for forming a field effect transistor are disclosed. An illustrated method comprises: forming a gate electrode on a substrate; and forming a nitride layer on at least a part of the gate electrode and the substrate.