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:
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:
Embodiments of the invention include an inspection system to inspect internal components of a compressor of a gas turbine engine. The inspection system includes an image recording assembly having one or more image recording devices, light sources, storage devices, and power supplies. The image recording assembly may be inserted into a compressor without removal of the compressor housing or disassembly of the compressor. The image recording assembly may be removably coupled to a rotary component of the compressor, e.g., a rotor blade, and used to record images of stationary components, e.g., stator vanes, of the compressor. The images may be inspected to identify wear and/or defects in the stationary components, e.g., stator vanes
摘要:
A system is disclosed. The system includes a processing subsystem that receives component data signals corresponding to a plurality of parameters of a device, wherein the processing subsystem generates one or more sets of state category component data by allocating the component data signals into respective one or more sets of state category component data, determines a plurality of first dynamic thresholds and a plurality of second dynamic thresholds corresponding to at least one of the one or more sets of state category component data based upon a respective set of state category component data in the one or more sets of state category component data and a respective parameter in the plurality of parameters, and determines an impending trip of the device utilizing the plurality of first dynamic thresholds and the plurality of second dynamic thresholds.
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:
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:
A power plant is provided and includes a gas turbine engine to generate power, a heat recovery steam generator (HRSG) to produce steam from high energy fluids produced from the generation of power in the gas turbine engine, a steam turbine engine to generate additional power from the steam produced in the HRSG and a thermal load reduction system to reduce thermal loading of components of the HRSG and/or the steam turbine engine during at least startup and/or part load operations, which includes an eductor by which a mixture of compressor discharge air and entrained ambient air is injectable into the HRSG and/or an attemperator to cool superheated steam to be transmitted to the steam turbine engine and a detector disposed within the HRSG to facilitate identification of hot spots therein.
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:
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.
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.