摘要:
A method for monitoring the health of a compressor of a gas turbine is disclosed. The method includes receiving a plurality of turbine data points, wherein the plurality of turbine data points may include one or more operating parameters, at least one of a computer discharge temperature (CTD), and one or more performance parameters. The plurality of turbine data points may be categorized based on the one or more operating parameters. A statistical variability measure of at least one of the CTD and the one or more performance parameters may be computed for each of the plurality of bands. An alarm indicator may be computed based on the at least one statistical variability measure. The method may also include combining two or more of the operating parameters, the CTD and the performance parameters using sensor fusion techniques. The alarm indicator may be computed based on the combined parameters.
摘要:
A monitoring system for use with a turbine engine is described herein. The turbine engine includes a compressor and at least one compressor bleed valve coupled to the compressor. The monitoring system includes at least one sensor that is for sensing an operational parameter of the compressor bleed valve, and a controller that is coupled to the sensor and the compressor bleed valve. The controller is configured to determine an operating mode of the turbine engine and receive a monitoring signal indicative of the sensed operational parameter. The controller is also configured to calculate at least one operational value of the compressor bleed valve based at least in part on the sensed operational parameter. The controller is further configured to determine a condition of the turbine engine based at least in part on the calculated compressor bleed valve operational value.
摘要:
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.
摘要:
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.
摘要:
A system for monitoring compressor anomalies includes an acoustic energy detector connected to the compressor and a controller in communication with the acoustic energy detector. The acoustic energy detector transmits an acoustic energy signal reflective of acoustic energy produced by the compressor to the controller. At least one sensor connected to the compressor measures an operating parameter of the compressor and transmits a parameter signal reflective of the operating parameter to the controller, A method for monitoring compressor anomalies includes sensing acoustic energy produced by the compressor and transmitting an acoustic energy signal reflective of the acoustic energy to a controller. The method further includes sensing at least one operating parameter of the compressor, transmitting a parameter signal reflective of the operating parameter to the controller, and transmitting an output signal based on the acoustic energy signal and the operating parameter signal.
摘要:
A monitoring system for use with a turbine engine is described herein. The turbine engine includes a compressor and at least one compressor bleed valve coupled to the compressor. The monitoring system includes at least one sensor that is for sensing an operational parameter of the compressor bleed valve, and a controller that is coupled to the sensor and the compressor bleed valve. The controller is configured to determine an operating mode of the turbine engine and receive a monitoring signal indicative of the sensed operational parameter. The controller is also configured to calculate at least one operational value of the compressor bleed valve based at least in part on the sensed operational parameter. The controller is further configured to determine a condition of the turbine engine based at least in part on the calculated compressor bleed valve operational value.
摘要:
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.
摘要:
A method of forming a failure estimate for one or more components of a heat recovery steam generator (HRSG) includes forming from failure models and at least one of fired hours and fired starts, factored hours and factored starts. The factored hours and/or starts are applied to failure equations for the one or more components to form the failure estimate.
摘要:
Disclosed herein are methods and systems for advising and operating a power plant and related devices. In an embodiment, a power plant operator via a client 135 requests from a server 115 advisory information regarding a current power plant startup. The client 135 may receive custom advisory information based on data of an initial state of the power plant and data from past power plant startups.
摘要:
Systems and methods provided herein output an operational advisory based upon a plurality of models derived from a plurality of data, in which the plurality of models comprise at least one of a plant transfer function, a degradation contributor model, or a plant level cost model, and in which the plurality of data is derived from at least one of current plant data, historical plant data, business data, environmental data, component data, degradation contribution data, an optimization goal, or a combination thereof.