Intelligent fault diagnosis method for pump station main device

Abstract

The invention discloses an intelligent fault diagnosis method for a pump station main device, and relates to the field of signal processing. The method comprises the steps of collecting a data signalof a to-be-tested key part of a to-be-tested pump station main device in a working state, and using the data signal as a to-be-tested sample; and inputting the to-be-tested sample into a VMD-gcForestdiagnostic model, sequentially drawing a modal function spectrum diagram and performing a multi-granularity cascade forest diagnosis to obtain a working status label corresponding to the to-be-testedsample, and obtaining the working state of the to-be-tested key part according to the working status label. The intelligent fault diagnosis method of the invention solves the problem that the waveletbasis function and the filtering threshold existing in an original vibration signal extraction process cannot be determined in the prior art; the problems of a lack of theoretical basis, the end pointeffect and the modal aliasing of EMD; and the problems that the existing fault diagnosis method based on the original vibration signal is extremely complicated in parameter adjustment, time-consumingin calculation, and low in diagnostic accuracy.

Description

technical field [0001] The invention relates to the field of signal processing, in particular to an intelligent fault diagnosis method for main equipment of a pumping station. Background technique [0002] The pumping station unit is different from other conventional rotating machinery. Its vibration is not only affected by the performance of its own mechanical system, but also affected by various factors such as water, machine and electricity. The performance of each component in the pumping station unit gradually degrades during operation, and various types of damage may occur, such as bearing damage, poor alignment of the coupling, unbalanced rotor and impeller, decreased rigidity of the equipment foundation (loose ground), and friction of the motor rotor. Mechanical wear or failure will reduce the operating efficiency of the equipment, and may lead to catastrophic accidents in severe cases. There are many types of vibration sources that can induce unit vibration failure...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a kind of intelligent fault diagnosis method facing the main equipment of the pumping station, so as to solve the problem that the wavelet basis function and the filtering threshold cannot be determined in the original vibration signal extraction process in the prior art; EMD lacks theoretical basis, Problems of endpoint effect and modal aliasing; existing fault diagnosis methods based on original vibration signals are extremely complex in parameter adjustment, time-consuming in calculation and low in accuracy of diagnosis

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