Intelligent power plant pump machine fault diagnosis method based on vibration signal stationary non-stationarity discrimination and feature discrimination

A technology of vibration signal and fault diagnosis, applied in pattern recognition in signal, computer parts, character and pattern recognition, etc., can solve problems that have not been seen in research reports, to ensure safe operation, ensure safe operation, remove redundant The rest of the effect

Active Publication Date: 2019-01-18
ZHEJIANG UNIV
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  • Intelligent power plant pump machine fault diagnosis method based on vibration signal stationary non-stationarity discrimination and feature discrimination
  • Intelligent power plant pump machine fault diagnosis method based on vibration signal stationary non-stationarity discrimination and feature discrimination
  • Intelligent power plant pump machine fault diagnosis method based on vibration signal stationary non-stationarity discrimination and feature discrimination

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[0038] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific examples.

[0039] The process of coal-fired power generation in smart power plants is complex, and the vibration signals of pump equipment are often mixed with a lot of noise. In addition, the vibration signals are inherently nonlinear and non-stationary, and it is very difficult to directly extract useful information from the original signals. . The present invention takes the bolt loosening fault and the impeller cavitation fault of the vacuum pump of Zouxian Power Plant, a subsidiary of Huadian Group, as an example, as figure 1 As shown, the method of the present invention is described in detail. Bolt loosening and impeller cavitation are two common failures of pumps, such as figure 2 shown.

[0040] The present invention is a fault diagnosis method for a pump machine in an intelligent power plant based on vibration signal stationary non-sta...

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Abstract

The invention discloses an intelligent power plant pump machine fault diagnosis method based on vibration signal stationary non-stationarity discrimination and feature discrimination. The method mainly aims at the pump equipment in the thermal power generating unit, and decomposes the original signal to obtain a plurality of eigenmode components through the empirical mode decomposition, and overcomes the mode aliasing problem of the EMD decomposition by using the wavelet decomposition. At the same time, the stationarity of the decomposed sub-signal is discriminated, and the stationary part andthe non-stationary part are respectively calculated. In the aspect of feature computation, the first and second frequency-doubling features are added because the frequency spectrum of the pump vibration signal changes obviously when it is abnormal. In addition, the selection of key features reduces the dimension of eigenvectors, reduces the redundancy of data, improves the accuracy of fault diagnosis of vibration signals of pumps in thermal power generating units, and helps engineers to repair the faults accurately, so as to ensure the safe and reliable operation of power generation process and improve the production efficiency.

Description

technical field [0001] The invention belongs to the field of fault diagnosis of vibration signals, in particular to a fault diagnosis method for a pump machine in an intelligent power plant based on vibration signal stationary and non-stationary discrimination and feature screening. Background technique [0002] With the progress of society and the development of science and technology, people's consumption of electricity has been increasing in recent years. With the deep integration of informatization and industrialization, promoting the intelligent transformation and upgrading of large-scale thermal power generation The inevitable choice of carbon, sustainable power industry system. As auxiliary equipment for coal-fired power generation, pumps are used in various production processes of thermal power generation. Therefore, the operation safety of the pump cannot be ignored. Once the pump fails, it is very likely to affect the normal operation of the entire power generatio...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06F2218/14G06F2218/04G06F2218/08G06F18/211G06F18/214
Inventor 赵春晖田峰常浩赵玉柱邴汉坤陈帅
Owner ZHEJIANG UNIV
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