Rotor system typical fault diagnosis method based on current signal

Abstract

The invention provides a rotor system typical fault diagnosis method based on motor current, belonging to the field of rotating machinery equipment. According to the method, firstly a current signal of a rotor system driving motor is collected, and an improved wavelet threshold denoising method is used for current signal denoising pretreatment on the current signal; then the current signal is subjected to EEMD decomposition, an meaningless IMF component is removed, the amplitude domain and time-frequency domain feature of each IMF component are extracted to form a feature vector, then a principal component analysis method is used to carry out dimension reduction on the feature vector, and a new low dimensional feature vector is obtained; and finally a support vector machine of particle swarm optimization is used to establish a nonlinear mapping relationship between the feature vector and different fault types, and the fault diagnosis is realized. According to the method, through the fault diagnosis of the motor current signal, the signal collection is convenient, the external interference resistance ability is high, and the method is easy to implement. The invention can be applied to the diagnosis of faults of mass unbalance, deflection angle misalignment, parallel misalignment and the like of a rotor system.

Description

technical field [0001] The invention belongs to the field of rotating machinery equipment, and in particular relates to a typical fault diagnosis method of a rotor system based on a current signal. Background technique [0002] Rotating machinery is the most widely used mechanical equipment in production enterprises, and the rotor system, as the core component of rotating machinery, will cause huge economic losses and even casualties in the event of failure. At present, the method of fault diagnosis of rotor system is mainly based on vibration analysis. The vibration signal during the operation of the rotor system is collected, and the corresponding signal processing technology is combined to judge whether there is a fault in the rotor system. For example, the patent with the publication number CN101294845A discloses a "multi-frequency weak signal detection method for the early failure of the rotor", and the patent with the publication number CN104697767A discloses "a method...

AI Technical Summary

Problems solved by technology

[0003] Vibration detection methods are relatively mature in theory and widely used. However, in the process of signal acquisition, vibration signals are easily affected by the harsh environment of the site, resulting in excessive noise components in the signal, and useful signals are obliterated. The result has a greater impact

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