Abstract: A computer-implemented system for detecting shifts in data is provided. The system is configured to: calculate, based on the value of a plurality of user-selectable baseline configuration parameters, baseline values for a series of data items in a data structure, wherein the baseline values include an average value and a standard deviation value; calculate, based on the value of a plurality of user-selectable weighted threshold parameters, a weighted threshold level for the series of data items; detect, based on the value of a plurality of user-selectable shift detection parameters, a shift in the series of data items, wherein the shift comprises an abrupt shift, a rapid drift, or a gradual drift; convert, based on the value of a plurality of user-selectable normalization parameters, the value of each data item in the series of data items to a normalized value; and determine whether the normalized values indicate a data shift.

Abstract: A system and method for identifying engine wear based on engine oil debris is provided. The provided system and method utilize metallic debris data provided in summary reports. For each object of metallic debris, a zap count, an initial (pre-zap) impedance and an impedance change (post zap) are processed with configurable reference variables. Alerts (suggesting potential engine wear) are generated responsive to the impedance values of the objects of metallic debris and the reference variables.

Abstract: A system and method for identifying engine wear based on engine oil debris is provided. The provided system and method utilize metallic debris data provided in summary reports. For each object of metallic debris, a zap count, an initial (pre-zap) impedance and an impedance change (post zap) are processed with configurable reference variables. Alerts (suggesting potential engine wear) are generated responsive to the impedance values of the objects of metallic debris and the reference variables.

Abstract: A system and method include receiving a set of sampled measurements for each of multiple sensors, wherein the sampled measurements are at irregular intervals or different rates, re-sampling the sampled measurements of each of the multiple sensors at a higher rate than one of the sensor's set of sampled measurements, and synchronizing the sampled measurements of each of the multiple sensors.

Abstract: A system and method include receiving a set of sampled measurements for each of multiple sensors, wherein the sampled measurements are at irregular intervals or different rates, re-sampling the sampled measurements of each of the multiple sensors at a higher rate than one of the sensor's set of sampled measurements, and synchronizing the sampled measurements of each of the multiple sensors.

Abstract: A system and method are provided for detecting a spall in an engine. The vehicle, for example, may include, but is not limited to an engine, an oil debris sensor coupled to the engine, a communications system, and a processor communicatively coupled to the oil debris sensor and the communications system. The processor may be configured to increment a counter when the oil debris sensor detects a particle over a predetermined size, increment the counter when a mass of a plurality of particles under the predetermined size exceeds a predetermined mass threshold, transmit, via the communications system, a first message when the counter exceeds a predetermined counter threshold, and reset the counter after predetermined amount of time.

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: Methods and systems for characterizing and estimating the wear damage of a rolling-element bearing are provided. At least one geometric attribute, such as the length, of a damage feature (e.g., a spall cavity) on the rolling-element bearing is calculated based on a geometry of the rolling-element bearing. An accumulated mass of damage particles ejected from the rolling-element bearing during operation of the rolling-element bearing is determined. When the accumulated mass of the damage particles exceeds a predetermined threshold, an indication or a signal is generated. The predetermined threshold of the accumulated mass is based on the at least one geometric attribute of the damage feature. The calculation of the at least one geometric attribute may be based on, for example, a depth of the damage feature, a radius of the rolling elements in the bearing, a radius of an outer race of the bearing as measured from an inner surface thereof, and the number of rolling elements in the bearing.

Abstract: A system and method include receiving a set of sampled measurements for each of multiple sensors, wherein the sampled measurements are at irregular intervals or different rates, re-sampling the sampled measurements of each of the multiple sensors at a higher rate than one of the sensor's set of sampled measurements, and synchronizing the sampled measurements of each of the multiple sensors.

Abstract: A system and method are provided for detecting a spall in an engine. The vehicle, for example, may include, but is not limited to an engine, an oil debris sensor coupled to the engine, a communications system, and a processor communicatively coupled to the oil debris sensor and the communications system. The processor may be configured to increment a counter when the oil debris sensor detects a particle over a predetermined size, increment the counter when a mass of a plurality of particles under the predetermined size exceeds a predetermined mass threshold, transmit, via the communications system, a first message when the counter exceeds a predetermined counter threshold, and reset the counter after predetermined amount of time.

Abstract: A testbed for testing health of software includes an input model, a hardware model, and a resource modeler. The input model represents an input system used in conjunction with the software. The hardware model represents one or more hardware components used in conjunction with the software. The resource modeler is coupled to the input model and the hardware model, and is configured to estimate effects on the software of conditions of the hardware components, the input system, or both.

Abstract: Monitoring wind turbine performance is described herein. One or more device embodiments include a memory and a processor. The processor is configured to execute executable instructions stored in the memory to determine a number of power outputs of a wind turbine at a number of wind speeds, determine a number of power residuals of the wind turbine at the number of wind speeds based on the determined power outputs and an expected power output curve associated with the wind turbine, adjust the power residuals based on a number of characteristics associated with a location of the wind turbine, analyze performance of the wind turbine based on the adjusted power residuals, and generate and display a number of health indicators associated with the wind turbine.

Abstract: A condition-based maintenance system having instrumentation for collecting data from one or more wind turbines and having a performance monitor for analyzing the data. Also, the system may have a wind turbine anomaly detector. Information from the performance monitor and the anomaly detector may be used for indicating conditions of the one or more wind turbines. These conditions may be a basis for determining maintenance recommended for any of the wind turbines.

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: Methods and systems for characterizing and estimating the wear damage of a rolling-element bearing are provided. At least one geometric attribute, such as the length, of a damage feature (e.g., a spall cavity) on the rolling-element bearing is calculated based on a geometry of the rolling-element bearing. An accumulated mass of damage particles ejected from the rolling-element bearing during operation of the rolling-element bearing is determined. When the accumulated mass of the damage particles exceeds a predetermined threshold, an indication or a signal is generated. The predetermined threshold of the accumulated mass is based on the at least one geometric attribute of the damage feature. The calculation of the at least one geometric attribute may be based on, for example, a depth of the damage feature, a radius of the rolling elements in the bearing, a radius of an outer race of the bearing as measured from an inner surface thereof, and the number of rolling elements in the bearing.

Abstract: A health monitoring system for a vehicle system includes a plurality of diagnostics systems and a bus. Each of the plurality of diagnostics and prognostics systems corresponding to a different sub-system of the vehicle system and configured to at least facilitate generating diagnostic and prognostic system output pertaining to the sub-system based at least in part on data, each of the plurality of diagnostics and prognostics systems comprises a diagnostics component comprising an analytics framework and a core. The analytics framework is configured to receive formatted data and to generate diagnostic determinations based at least in part thereon. The core is coupled to the analytics framework, and is configured to transform data into formatted data and provide the formatted data to the analytics framework. The bus is coupled to the plurality of diagnostics and prognostics systems, and is configured to at least facilitate providing the data thereto.

Abstract: A testbed for testing health of software includes an input model, a hardware model, and a resource modeler. The input model represents an input system used in conjunction with the software. The hardware model represents one or more hardware components used in conjunction with the software. The resource modeler is coupled to the input model and the hardware model, and is configured to estimate effects on the software of conditions of the hardware components, the input system, or both.

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: A substance detection system having an electronic nose and classifier. The system may extract feature from the electronic signals representing the smells from the electronic nose sensing an unknown substance. The features may be formatted as smellprints that are synthesized as data. The features may be classified, and in a binary tournament fashion, as an illustrative example, may be mapped to be compared or correlated with features of known substances. The known substance or substances having the highest scores for good mapping, comparison or correlation with the sensed substance, may be reviewed in view of decision criteria to determine an identification of the sensed substance.

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.