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SVD principle analysis and fault diagnosis for bearings based on the correlation coefficient
Qiao, Zijian1,2; Pan, Zhengrong1,2
刊名MEASUREMENT SCIENCE AND TECHNOLOGY
2015-08
卷号26期号:8
关键词SVD Hankel matrix impulse signal detection mechanical fault diagnosis rolling bearings
ISSN号0957-0233
DOI10.1088/0957-0233/26/8/085014
英文摘要Aiming at solving the existing sharp problems by using singular value decomposition (SVD) in the fault diagnosis of rolling bearings, such as the determination of the delay step k for creating the Hankel matrix and selection of effective singular values, the present study proposes a novel adaptive SVD method for fault feature detection based on the correlation coefficient by analyzing the principles of the SVD method. This proposed method achieves not only the optimal determination of the delay step k by means of the absolute value r(k) of the autocorrelation function sequence of the collected vibration signal, but also the adaptive selection of effective singular values using the index rho corresponding to useful component signals including weak fault information to detect weak fault signals for rolling bearings, especially weak impulse signals. The effectiveness of this method has been verified by contrastive results between the proposed method and traditional SVD, even using the wavelet-based method through simulated experiments. Finally, the proposed method has been applied to fault diagnosis for a deep-groove ball bearing in which a single point fault located on either the inner or outer race of rolling bearings is obtained successfully. Therefore, it can be stated that the proposed method is of great practical value in engineering applications.
资助项目Natural Science Foundation of Gansu province P.R China[1308RJZA273][ZS021-A25-017-G] ; National Science Foundation of P.R China[50274003]
WOS研究方向Engineering ; Instruments & Instrumentation
语种英语
出版者IOP PUBLISHING LTD
WOS记录号WOS:000362220900025
状态已发表
内容类型期刊论文
源URL[http://119.78.100.223/handle/2XXMBERH/34002]  
专题电气工程与信息工程学院
通讯作者Qiao, Zijian
作者单位1.Lanzhou Univ Technol, Gansu Prov Key Lab Mfg Informationizat Syst, Lan Zhou 730050, Peoples R China
2.Lanzhou Univ Technol, Coll Elect & Informat Engn, Lan Zhou 730050, Peoples R China
推荐引用方式
GB/T 7714
Qiao, Zijian,Pan, Zhengrong. SVD principle analysis and fault diagnosis for bearings based on the correlation coefficient[J]. MEASUREMENT SCIENCE AND TECHNOLOGY,2015,26(8).
APA Qiao, Zijian,&Pan, Zhengrong.(2015).SVD principle analysis and fault diagnosis for bearings based on the correlation coefficient.MEASUREMENT SCIENCE AND TECHNOLOGY,26(8).
MLA Qiao, Zijian,et al."SVD principle analysis and fault diagnosis for bearings based on the correlation coefficient".MEASUREMENT SCIENCE AND TECHNOLOGY 26.8(2015).
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