基于改进耦合增强随机共振的滚动轴承故障诊断

doi:10.3969/j.issn.1000-1158.2019.03.06

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摘要针对强背景噪声下经典随机共振方法对滚动轴承故障特征提取效果差的问题,提出了一种基于改进耦合增强随机共振的滚动轴承故障诊断方法。首先,利用一个定参双稳系统和一个变参双稳系统构成耦合随机共振系统,外部输入直接作用于定参双稳系统;然后,通过调节变参双稳系统参数和耦合系数实现耦合系统的随机共振控制,并借助遗传算法实现控制参数的自适应选取。实验和工程应用验证了所提方法的有效性和优越性。

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	张金凤
	李继猛
	杨莹
	李雪
	刘德玉

关键词 ：计量学, 滚动轴承, 故障诊断, 耦合随机共振, 变参双稳系统

Abstract：In view of the problem that the extraction effect of the traditional stochastic resonance (SR) method for rolling bearing fault feature is unsatisfactory under strong background noise, a fault diagnosis method of rolling bearing based on improved coupling-enhanced SR is proposed. First, the coupled SR system is constructed by using a fixed-parameter bistable system forced by an external input signal and a variable-parameter bistable system. Second, the SR control of coupled system is realized by adjusting the system parameter and coupling coefficient. And the genetic algorithm is used to realize the adaptive selection of the control parameters. Finally, experiments and engineering application are performed to verify the effectiveness and superiority of the proposed method in the rolling bearing fault diagnosis.

Key words： metrology rolling bearing;fault diagnosis coupled stochastic resonance variable-parameter bistable system

收稿日期: 2017-12-20 发布日期: 2019-04-19

PACS:	TB936
	TB973

基金资助:国家自然科学基金(51505415);河北省自然科学基金(E2017203142);秦皇岛市科技支撑计划(201602A025)

通讯作者: 刘德玉(1982-),男,湖南韶山人,湖南工业职业技术学院讲师,主要从事自动控制方面研究。Email:632338084@qq.com E-mail: 553080937@qq.com

作者简介: 张金凤(1983-),女,山东菏泽人,燕山大学里仁学院实验师,主要从事信号处理和机械故障诊断方面的研究。E-mail:zhanniful@163.com

引用本文:

张金凤,李继猛,杨莹,李雪,刘德玉. 基于改进耦合增强随机共振的滚动轴承故障诊断[J]. 计量学报, 2019, 40(3): 385-391.
ZHANG Jin-feng,LI Ji-meng,YANG Ying,LI Xue,LIU De-yu. Rolling Bearing Fault Diagnosis Based on Improved Coupling-enhanced Stochastic Resonance. Acta Metrologica Sinica, 2019, 40(3): 385-391.

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http://jlxb.china-csm.org:81/Jwk_jlxb/CN/10.3969/j.issn.1000-1158.2019.03.06 或 http://jlxb.china-csm.org:81/Jwk_jlxb/CN/Y2019/V40/I3/385

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