Health Indicator Construction Based on MD-CUMSUM With Multi-Domain Features Selection for Rolling Element Bearing Fault Diagnosis
Li, Qiang1; Yan, Changfeng1; Wang, Wei2; Babiker, Abdalla1; Wu, Lixiao1
2019
Source PublicationIEEE ACCESS
ISSN2169-3536
Volume7Pages:138528-138540
AbstractThe initial fault signal of rolling element bearing is extremely weak and could be easily masked by strong background noise. Different features of vibration signal can be different sensitivity to initial fault and performance degradation. Moreover, individual features cannot reflect bearing fault rationally and these features reveal non-monotonic behavior when the bearing condition deteriorates. A Health Indicator (HI) is proposed based on Mahalanobis Distance and Cumulative Sum (MD-CUMSUM). The time-frequency domain features extracted through Singular Value Decomposition based on Variational Mode Decomposition (VMD-SVD) and several optimal time domain features are used to calculate Mahalanobis Distances (MDs). The coarse-to-fine diagnosing strategy is proposed to determine the initial fault of rolling bearing. The obtained HI is utilized to estimate the different performance degradation stages of the bearing depending on the thresholds. This method is verified by utilizing two different experiments. The results demonstrate that the approach has the capability of estimating initial fault and determining degradation stages of bearing.
KeywordCoarse-to-fine diagnosing strategy health indicator initial fault MD-CUMSUM VMD-SVD
DOI10.1109/ACCESS.2019.2942371
Indexed BySCI
Language英语
Funding ProjectProgram of the National Natural Science Foundation of China[51765034]
WOS Research AreaComputer Science ; Engineering ; Telecommunications
WOS SubjectComputer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS IDWOS:000498718300003
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.lut.edu.cn/handle/2XXMBERH/64124
Collection机电工程学院
Corresponding AuthorYan, Changfeng
Affiliation1.Lanzhou Univ Technol, Sch Mech & Elect Engn, Lanzhou 730050, Gansu, Peoples R China
2.Xian CAS Photoelect Precis Engn Co Ltd, Xian 710000, Shaanxi, Peoples R China
First Author AffilicationLanzhou University of Technology
Corresponding Author AffilicationLanzhou University of Technology
First Signature AffilicationLanzhou University of Technology
Recommended Citation
GB/T 7714
Li, Qiang,Yan, Changfeng,Wang, Wei,et al. Health Indicator Construction Based on MD-CUMSUM With Multi-Domain Features Selection for Rolling Element Bearing Fault Diagnosis[J]. IEEE ACCESS,2019,7:138528-138540.
APA Li, Qiang,Yan, Changfeng,Wang, Wei,Babiker, Abdalla,&Wu, Lixiao.(2019).Health Indicator Construction Based on MD-CUMSUM With Multi-Domain Features Selection for Rolling Element Bearing Fault Diagnosis.IEEE ACCESS,7,138528-138540.
MLA Li, Qiang,et al."Health Indicator Construction Based on MD-CUMSUM With Multi-Domain Features Selection for Rolling Element Bearing Fault Diagnosis".IEEE ACCESS 7(2019):138528-138540.
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