Gas turbine system performance prediction method based on key component failure model
A technology for gas turbines and prediction methods, which is applied in computing models, machine learning, special data processing applications, etc., can solve the problem that gray models cannot be used for long-term prediction, etc., and achieves the effect of high matching degree
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[0052]Preferred embodiments of the present invention will be specifically described below in conjunction with the accompanying drawings, wherein the accompanying drawings constitute a part of the application and are used together with the embodiments of the present invention to explain the principle of the present invention.
[0053] A specific embodiment of the present invention discloses a method for predicting the performance of a gas turbine system based on a key component failure model. The method utilizes the performance decline trend of key components of the gas turbine system to predict the overall performance decline trend of the gas turbine system, such as figure 1 shown, including the following steps:
[0054] Step S1. Based on the structure and functional characteristics of the gas turbine system, perform a three-level decomposition of the gas turbine system, and decompose the gas turbine system into three levels: subsystems, key equipment, and key components
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