李宏坤

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:男

毕业院校:大连理工大学

学位:博士

所在单位:机械工程学院

学科:机械电子工程

办公地点:机械工程学院(大方楼)7025房间

联系方式:0411-84706561-8048

电子邮箱:lihk@dlut.edu.cn

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Incipient fault information determination for rolling element bearing based on synchronous averaging reassigned wavelet scalogram

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论文类型:期刊论文

发表时间:2015-04-01

发表刊物:MEASUREMENT

收录刊物:SCIE

卷号:65

页面范围:1-10

ISSN号:0263-2241

关键字:Synchronous averaging reassigned wavelet scalogram; Impact information; Incipient fault recognition; Rolling element bearing; Weak fault classification

摘要:As incipient fault of rotating machinery is weak and interfered by noise, it is difficult for characteristic information determination and incipient classification. In this research, a new method is put forward on rolling element bearing (REB) incipient impact information using synchronous averaging reassigned wavelet scalogram (SARWS) according to time-frequency analysis. Firstly, multi-cycle signal is processed by continuous wavelet transform. Then, time frequency distribution for every working cycle of vibration signal is obtained by wavelet scalogram (WS) based on time domain information. Thirdly, reassigned wavelet scalogram (RWS) for every working cycle of REB can be calculated. In the end, synchronous averaging is applied on RWS, which can effectively reduce noise interference and identify the weak fault information. Both simulated signals and real vibration signals collected from REB of rotating machinery are used to verify this proposed method. Analyzed results show that the proposed method is effective for REB incipient weak fault classification. (C) 2014 Elsevier Ltd. All rights reserved.