Online abrasion monitoring method based on electrostatic induction, online abrasion monitoring device based on electrostatic induction and experimental system

Abstract

The invention discloses an online abrasion monitoring method based on electrostatic induction, which is used for online monitoring of abrasion conditions under circulative lubrication. The method includes: firstly, acquiring electrostatic signals of oil and abrasive grains in the oil on line; secondly, using a denoising method which integrates cross correlation coefficients with differentials to denoise the acquired signals to obtain oil abrasive grain electrostatic signals; and thirdly, judging the abrasion conditions according to characteristic parameters of the oil abrasive grain electrostatic signals. Further, the characteristic parameters include at least one of root mean square values, kurtosis indexes and cross correlation coefficients. The invention further discloses an online abrasion monitoring device based on electrostatic induction and an experimental system. Compared with the prior art, the online abrasion monitoring method and the online abrasion monitoring device based on electrostatic induction, and the experimental system have the advantages that background noise in signals can be effectively removed, and accuracy in monitoring can be improved.

Description

technical field [0001] The invention relates to an online wear monitoring method, in particular to an online wear monitoring method, device and experimental system based on electrostatic induction. Background technique [0002] The main bearings of modern aero-engines and helicopter gearboxes operate under heavy loads, high speeds, and high temperatures. These parts develop rapidly from initial peeling to component failure, often in just a few hours. Real-time monitoring of the status of these parts , On-line monitoring, and providing early warning of early signs of component decline are of great significance. [0003] Abrasive particles are an important information element of the wear state of parts. Monitoring them can provide an important basis for understanding the severity of the wear state and the failure mode of the friction surface. At present, the monitoring of wear particles in the lubrication system mainly adopts offline methods (such as ferrography analysis, spe...

AI Technical Summary

Problems solved by technology

[0004] In the above technical solution, when denoising the signal of the electrostatic sensor, the frequency domain characteristic difference between the oil background and the oil abrasive particle electrostatic signal is used for denoising processing. The algorithm of the denoising method based on the frequency domain is complicated and difficult. It fully meets the real-time requirements of abrasive particle monitoring; moreover, this solution simply uses the abrasive particle concentration as the basis for judging the wear condition, which cannot accurately and comprehensively reflect the wear condition

Images