Gearbox Fault Feature Extraction and Diagnosis

Abstract

Chuanhao Wang, Yongjian Sun, Xiaohong Wang

Gearboxes, as an essential connection in mechanical equipment as well as a universal component for transmitting power, have a wide range of applications in modern industrial development. Gear systems can be damaged to different degrees during operation, such as gear breakage, pitting, wear, etc., all of which generate periodic impulse impact force and produce the modulation phenomenon of vibration signal, and extract modulation information from the signal and analyze its intensity and frequency to determine the degree and parts of the parts damage. This paper mainly discusses the analysis and processing of the vibration data of gears by MATLAB, based on the snowflake diagram obtained by analyzing the SDP (Symmetrized Dot Pattern) method, the images are filtered and binarized separately, and the images obtained are compared with the similarity with the standard images, thus greatly leveling the fault identification purpose.

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