Noise reduction method for vibration signal of mechanical equipment

Abstract

The invention relates to a noise reduction method for a vibration signal of mechanical equipment. The method comprises the steps of: performing local mean decomposition on a non-stable vibration signal; according to PF components obtained by local mean decomposition, calculating a cross correlation coefficient of each PF component and the non-stable vibration signal, comparing the cross correlation coefficient with a preset value, and performing superposition reconstruction on each PF component when the cross correlation coefficient is smaller than the preset value to obtain a virtual noise channel signal, wherein the virtual noise channel signal serves as an input signal of an FastICA algorithm; and performing blind source separation on the vibration signal and the virtual noise channel signal according to the FastICA algorithm to obtain a source signal and a noise signal of the vibration signal, so that the noise reduction of the vibration signal is realized. The method can effectively reduce noise interference in the vibration signal, enable fault character frequency to be more obvious and then facilitate extraction of fault characteristics, and can be widely applied to the field of fault diagnosis of mechanical equipment.

Description

technical field [0001] The invention relates to a noise reduction method, in particular to a noise reduction method for vibration signals of mechanical equipment. Background technique [0002] Mechanical equipment is a complex system, there is relative motion between various parts, and the operating conditions of mechanical equipment often change. These factors lead to the collected vibration signals in addition to useful signals reflecting the operating status of the equipment. There are also Lots of noise. The existence of noise has brought great interference to the monitoring of equipment operating status and fault diagnosis, so noise reduction processing is required for vibration signals. [0003] Traditional vibration signal noise reduction methods usually use filters to set different passbands to suppress or filter signals in a specific band. But this kind of noise reduction method is only applicable to the situation where the signal and noise are in different freque...

AI Technical Summary

Problems solved by technology

However, this type of noise reduction method is only applicable to the situation where the signal and noise are in different frequency bands.

For complex system vibration signals, it is often unavoidable that the system signal and noise signal overlap each other in the frequency band, which makes traditional noise reduction methods have great limitations when dealing with complex system signals, and the effect is often not good.

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