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: A system for creating an inspection or part replacement recommendation for a unit forming a part of a fleet includes an assessment module that receives inputs from at least one portion of at least one turbine and produces an inspection recommendation. The assessment module includes a health assessment module that creates a risk of event estimate based on the inputs and historical operations data and a performance analyzer coupled to the health assessment module that creates the inspection or part replacement recommendation based on the risk of event estimate and information related to a cost.

Abstract: A system for creating a financial risk model for at least one turbine includes a database storing operational characteristics of one or more turbines and a processing module coupled to the database that receives information from the database and creates the financial risk determination. The processing module includes a performance degradation modeler that receives performance data and creates a model there from and a financial risk calculator coupled to the performance modeler that determines financial exposure to a contract based on the model received from the performance modeler.

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: 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: 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: 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.