Steam turbine host fault diagnosis method based on feature selection of stationary and non-stationary vibration signals

A non-stationary signal, vibration signal technology, applied in signal pattern recognition, engine testing, computer parts and other directions, can solve problems that have not been reported in research reports, avoid interference, improve performance, and ensure safe and reliable operation. Effect

Active Publication Date: 2019-02-01
ZHEJIANG UNIV
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  • Steam turbine host fault diagnosis method based on feature selection of stationary and non-stationary vibration signals
  • Steam turbine host fault diagnosis method based on feature selection of stationary and non-stationary vibration signals
  • Steam turbine host fault diagnosis method based on feature selection of stationary and non-stationary vibration signals

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[0040] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific examples.

[0041] The vibration signal of the main engine of the steam turbine unit in thermal power generation is nonlinear and non-stationary. The original signal contains a lot of noise. It is difficult to directly extract information from the original signal. The present invention takes the two typical faults of the airflow excitation fault and the dynamic and static friction fault that occur in the main engine of a steam turbine unit in a thermal power plant as examples, as shown in figure 1 As shown, the method of the present invention is described in detail. Such as figure 2 As shown, the airflow excitation fault is specifically manifested as the vibration of the shaft system increases, and the low-frequency component of the signal increases; the dynamic and static friction friction fault specifically manifests as the "peak" of the vibrati...

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Abstract

The invention discloses a steam turbine host fault diagnosis method based on feature selection of stationary and non-stationary vibration signals. For a steam turbine in a thermal power steam turbineunit, the method combines use of ensemble empirical mode decomposition (EEMD) and a recursive feature elimination method to decompose and extract key features of the stationary and non-stationary signals in detail, and uses the same for fault diagnosis of steam turbine vibration signals. According to the method, the characteristics of non-stationarity, massive noise inclusion and the like of the steam turbine vibration signals are fully considered, potential information contained in fault data is fully exploited, features are respectively extracted for the stationary and non-stationary data, and the problem that non-stationary data features are liable to be masked is overcome. At the same time, the key features are extracted, dimension quantity of feature vectors is decreased, redundancy of data is reduced, accuracy of fault diagnosis of the steam turbine vibration signals is improved, accurate repair of an on-site engineer on a fault is facilitated, thus safe and reliable running of generator steam turbine equipment is guaranteed, and production benefits are improved.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis of vibration signals, in particular to a fault diagnosis method based on feature selection of stable and non-stationary vibration signals for a steam turbine main engine of a thermal power generating set. Background technique [0002] With the progress of society and the development of science and technology, people's demand for electricity is also increasing. Among them, coal-fired power generation is one of the main power generation methods in my country. In recent years, with the adjustment of the structure of the power generation industry, large-scale units with large capacity, high parameters, and low energy consumption have gradually replaced small units with high energy consumption, and the industrial process has become more and more complicated. As the main equipment for coal-fired power generation, the safe operation of the main engine of the steam turbine affects the operation s...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M15/00G06K9/00
CPCG01M15/00G06F2218/02G06F2218/08G06F2218/12
Inventor 赵春晖田峰
Owner ZHEJIANG UNIV
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