Method for detecting self restoring effect of self restoring additives

Abstract

The invention discloses a method for detecting a self restoring effect of self restoring additives. The method comprises the following steps that: 1) firstly, a vibration signal frequency domain spectrogram during the device operation before or after the restoration is obtained; 2) vibration signal frequency domain spectrogram signals before or after the restoration are subjected to full scale orthogonality wavelet packet decomposition, and wavelet packet energy feature vectors before or after the restoration are obtained through calculation; and 3) feature vectors with great differences in the wavelet packet energy feature vectors of vibration signals before or after the restoration are used as key feature quantities of the wavelet packet energy feature, whether the wavelet packet energy key feature quantity after the restoration is decreased through being compared with that before the restoration is used as the basis for judging whether the self restoring effect is realized or not, and the greater value decreasing degree shows the better self restoring effect. The method is more visual and more accurate than the spectral analysis, and in addition, the detection can be conveniently realized without special vibration measurement knowledge or rich vibration spectrogram analysis experience.

Description

technical field [0001] The invention relates to a method for detecting the repairing effect of a self-repairing additive, in particular to a method for detecting the self-repairing effect of a self-repairing additive added to lubricating oil on worn or damaged parts during equipment operation. [0002] Background technique [0003] Lubrication online self-repair technology is a new technology developed in recent years. The self-repair effect is mainly evaluated by wear amount and wear surface analysis. The evaluation method is cumbersome and expensive, and the test device must be disassembled. Therefore, test researchers both at home and abroad are looking for a method to evaluate the self-repair effect online in real time, changing the timed shutdown test into a real-time online test. [0004] The vibration test method has been successfully applied to the fault diagnosis of mechanical equipment, that is, to use the state information of the mechanical equipment during opera...

AI Technical Summary

Problems solved by technology

Vibration testing mainly uses the determination of vibration frequency and amplitude as the basis for fault diagnosis. However, in the actual process, due to the influence of many other factors such as manufacturing and assembly errors, unstable speed and swing of the test components, the actual characteristic frequency of the test components is between Fluctuations within a range or even a jump, the key is that the analysis of the vibration spectrum requires experienced professionals to complete

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