Abstract: A method of wind turbine management includes receiving operational information on operational characteristics of a wind turbine. The operational information is analyzed based on a set of rules, and a determination is made as to whether a fault of the wind turbine is resettable. The set of rules may be configured based on operating configuration of the wind turbine. Advanced operational information may be received for conducting enhanced diagnostics and a determination is made as to whether a fault of the wind turbine is resettable.

Abstract: A gearbox life estimation system includes a single sensor or multiple sensors configured for obtaining field operational data related to loading of a gearbox from a single gearbox component or different gearbox components. The system further includes a processor configured for receiving signals representative of the field operational data from the sensors, for providing calculated operational load data for the gearbox components based on the field operational data, and for providing an estimate of remaining life of gearbox using the calculated operational load data.

Abstract: A method of wind turbine management includes receiving operational information on operational characteristics of a wind turbine. The operational information is analyzed based on a set of rules, and a determination is made as to whether a fault of the wind turbine is resettable. The set of rules may be configured based on operating configuration of the wind turbine.

Abstract: A system is presented. The system includes a data acquisition system that generates time of arrival (TOA) data corresponding to a plurality of blades in a device, a central processing subsystem that determines features of each of the plurality of blades utilizing the TOA data, and evaluates the health of each of the plurality of blades based upon the determined features.

Abstract: Systems and methods for steam turbine remote monitoring, calculating corrected efficiency, monitoring performance degradation, diagnosing and benchmarking are disclosed with an example turbine system including a turbine, a data acquisition device coupled to the turbine, the data acquisition device for collecting turbine data that includes performance parameters of the turbine and a central monitoring system coupled to the data acquisition device, the central monitoring system for receiving the collected turbine data and processing the turbine data to determine turbine performance.

Abstract: A Monitoring and Diagnostics System is provided, which includes a monitoring unit and a monitored unit remotely located from the monitoring unit. The System also includes communication means between the monitoring unit and the monitored unit. The monitored unit includes data acquisition means for providing fault data of the monitored unit and the communication means are adapted to communicate the fault data from the monitored unit to the monitoring unit. The monitoring unit includes a rules engine having a set of expert rules for analyzing the information contained in the fault data and being adapted to deduce diagnostics information from the rules and from the information. In addition, a communication method for communicating between a first Programmable Logic Controller and a second Programmable Logic Controller or a central unit is provided, in which a description file is provided.

Abstract: A system for rotor blade health monitoring include time of arrival (TOA) sensors and a controller comprising a processor configured for obtaining TOA signals indicative of times of arrival of rotating rotor blades from the respective TOA sensors and for determining initial features from the TOA signals; and a feature level fuser configured for fusing the initial features received from the processor for use in evaluating health of the rotating rotor blades.

Abstract: An embodiment of a method for lifespan modeling for a turbine engine component includes determining a design-phase model of the lifespan of an turbine engine component; fusing the design-phase model with sensor data collected during operation of the turbine engine component to produce an updated model of the lifespan of the turbine engine component; and fusing the updated model with data collected during an inspection of the turbine engine component to produce an overall model of the lifespan of the turbine engine component. Systems for lifespan modeling for a turbine engine component are also provided.

Abstract: A method of wind turbine management includes receiving operational information on operational characteristics of a wind turbine. The operational information is analyzed based on a set of rules, and a determination is made as to whether a fault of the wind turbine is resettable. The set of rules may be configured based on operating configuration of the wind turbine. Advanced operational information may be received for conducting enhanced diagnostics and a determination is made as to whether a fault of the wind turbine is resettable.

Abstract: A system includes an electrostatic precipitator, an electromagnetic sensor and a processor to locate spark locations. The electromagnetic sensor is used at various locations of the electrostatic precipitator to obtain data and process the same for locating sparks in electrostatic precipitators.

Abstract: A system for monitoring a condition of an article comprises a controller; at least one sensor for detecting a characteristic of the article; a signal processor for processing signals from the at least one sensor; a feature extractor that can extract at least one of a range of article conditions from the output from the signal processor and that can evaluate at least one of a range of article conditions, the feature extractor providing feature extractor output to the controller; an operation detector receiving data of detected features of the elements being monitored, the operation detector providing output to the controller; a central system storing historical data about the condition of an article, the off-line processor providing output to the controller. Wherein the controller analyzes the output from the feature extractor, the operation detector, and the central system can provide a system output of the condition of the article.

Abstract: A method and system are implemented to detect gas turbine blade problems in real time and provide more accurate prediction capabilities than known techniques due to inclusion of physics-based correction and temperature modeling methods for the hot gas path parts lifing. The system and method use pyrometer data and operational data to generate physics-based corrections of pyrometer data and physics-based bucket temperature estimations and failure signatures.

Abstract: Systems and methods for prediction of gas turbine trips due to component failures such as electro-hydraulic valve (gas control valve) system failures. Exemplary embodiments include prediction of gas turbine trips due to component failures, the method including collecting raw gas turbine operational data and using the raw gas turbine operational data to generate a prognostic indicator for the prediction of a turbine trip due to the failed gas control valves.

Abstract: Systems and methods for prediction of gas turbine trips due to component failures such as thermocouple failures. Exemplary embodiments include prediction of gas turbine trips due to component failures, including collecting raw gas turbine operational data and using the raw gas turbine operational data to generate a prognostic indicator for the prediction of a turbine trip due to the failed thermocouples.

Abstract: The method includes obtaining input data representative of a first parameter of a cryogenic medium in a cryogenic cooling system is provided. The method further includes calculating an expected value representative of a second parameter of the cryogenic medium in the cooling system via a predefined physics based model. A second input data representative of the second parameter of the cryogenic medium in the cooling system is estimated. The expected value is compared to the second input data and difference between the expected value and the second input data is correlated to statistical data to estimate a likelihood of cryogenic cooling system event.

Abstract: Systems and methods for steam turbine remote monitoring, calculating corrected efficiency, monitoring performance degradation, diagnosing and benchmarking are disclosed with an example turbine system including a turbine, a data acquisition device coupled to the turbine, the data acquisition device for collecting turbine data that includes performance parameters of the turbine and a central monitoring system coupled to the data acquisition device, the central monitoring system for receiving the collected turbine data and processing the turbine data to determine turbine performance.

Abstract: A gearbox life estimation system includes a single sensor or multiple sensors configured for obtaining field operational data related to loading of a gearbox from a single gearbox component or different gearbox components. The system further includes a processor configured for receiving signals representative of the field operational data from the sensors, for providing calculated operational load data for the gearbox components based on the field operational data, and for providing an estimate of remaining life of gearbox using the calculated operational load data.

Abstract: A system for isolating effects of one or more process parameters on performance of a heat transfer device is provided. The system includes an efficiency correction unit that is adapted to receive data from the heat transfer device. The data is representative of one or more measurable process parameters or a change in the one or more measurable process parameters of the heat transfer device. The efficiency correction unit is also configured to compute a normalized efficiency of the heat transfer device. The normalized efficiency represents a corrected efficiency that isolates effects of one or more process parameters on performance of the heat transfer device.

Abstract: In a railroad locomotive having a plurality of systems which collectively are used for locomotive operations, a method of self-healing a system of the plurality of systems comprising monitoring operational conditions of the system, detecting at least one of a pending and a current failure, determining a self-healing procedure to correct the failure, and applying the self-healing procedure comprising at least one of a safe mode technique, a redundancy technique, and an automatic configuration technique.

Abstract: In a railroad locomotive having a plurality of systems which collectively are used for locomotive operations, a method of self-healing a system of the plurality of systems comprising monitoring operational conditions of the system, detecting at least one of a pending and a current failure, determining a self-healing procedure to correct the failure, and applying the self-healing procedure comprising at least one of a safe mode technique, a redundancy technique, and an automatic configuration technique.