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 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: A locomotive diagnostic system. A first sensor outputs a measurement of a first state variable (such as vibration) of a first locomotive component, such as a blower fan bearing set, and a second sensor outputs a measurement of a second state variable (such as rotational speed) of a second locomotive component, such as a blower fan shaft. The first state variable is indicative of the operation of the first component and is dependent on the second state variable. Data represents, for each of a number of different values of the second state variable, first, second, and third ranges of values of the first state variable which indicate, respectively, normal, worn, and failed operation of the first component. A mechanism, such as a digital computer, determines if the measurement of the first state variable is within the first, second, or third range of values of the first state variable for the measurement of the second state variable.