机械科学与技术2023，Vol.42Issue(12)：1972-1976,5.DOI:10.13433/j.cnki.1003-8728.20220165
自相关结合灰色关联度的轴承早期故障诊断方法
Early Fault Diagnosis of Bearing Coupling Autocorrelation and Grey Relational Degree
摘要
Abstract
Aiming at the low sensitivity of rolling bearing performance degradation index and difficulty in determining the starting point of degradation,an early fault diagnosis method of bearing coupling autocorrelation function and gray relational degree(AF-GRD)is proposed.Firstly,the autocorrelation series function is obtained based on the Hilbert transform and the AF by processing the life data sample group of bearing.Then,the first set of data in the early stage of bearing operation was extracted as a reference sample,the GRD between the remaining samples and the reference sample was calculated and the bearing performance degradation index was constructed.Finally,the time period of the early fault of bearing is determined according to the change in index and health threshold,the data sample of this period are intercepted for Hilbert envelope spectrum analysis to realize early fault diagnosis.Using the laboratory database to complete early fault diagnosis of the bearing,the results show that AF-GRD has high sensitivity and can detect the early degradation of bearings.关键词
轴承/自相关函数/灰色关联度/早期故障诊断Key words
bearing/autocorrelation function/grey relational degree/early fault diagnosis分类
信息技术与安全科学引用本文复制引用
方能炜,刘兰徽,邢镔,胡小林,董绍江,裴雪武..自相关结合灰色关联度的轴承早期故障诊断方法[J].机械科学与技术,2023,42(12):1972-1976,5.基金项目
重庆市北碚区科学技术局技术创新与应用示范项目(2020-5) （2020-5）
