Multistage Fault Feature Extraction of Consistent Optimization for Rolling Bearings Based on Correlated Kurtosis
Fault diagnosis of rolling bearings is not a trivial task because fault-induced periodic transient impulses are always submerged in environmental noise as well as large accidental impulses and attenuated by transmission path. In most hybrid diagnostic methods available for rolling bearings, the prob...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2020/8846156 |
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| author | Long Zhang Binghuan Cai Guoliang Xiong Jianmin Zhou Wenbin Tu Yinquan Yu |
| author_facet | Long Zhang Binghuan Cai Guoliang Xiong Jianmin Zhou Wenbin Tu Yinquan Yu |
| author_sort | Long Zhang |
| collection | DOAJ |
| description | Fault diagnosis of rolling bearings is not a trivial task because fault-induced periodic transient impulses are always submerged in environmental noise as well as large accidental impulses and attenuated by transmission path. In most hybrid diagnostic methods available for rolling bearings, the problems lie in twofolds. First, most optimization indices used in the individual signal processing stage do not take the periodical characteristic of fault transient impulses into consideration. Second, the individual stages make use of different optimization indices resulting in inconsistent optimization directions and possibly an unsatisfied diagnosis. To solve these problems, a multistage fault feature extraction method of consistent optimization for rolling bearings based on correlated kurtosis (CK) is proposed where maximum correlated kurtosis deconvolution (MCKD) is employed to attenuate the influence of transmission path followed by tunable Q factor wavelet transform (TQWT) to further enhance fault features by decomposing the preprocessed signals into multiple subbands under different Q values. The major contribution of the proposed approach is to consistently use CK as an optimization index of both MCKD and TQWT. The subband signal with the maximum CK which is an index being able to measure the periodical transient impulses in vibration signal yields an envelope spectrum, from which fault diagnosis is implemented. Simulated and experimental signals verified the effectiveness and advantages of the proposed method. |
| format | Article |
| id | doaj-art-508ce4b1d53a4df59a3360a9db8efb61 |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-508ce4b1d53a4df59a3360a9db8efb612025-02-03T01:00:12ZengWileyShock and Vibration1070-96221875-92032020-01-01202010.1155/2020/88461568846156Multistage Fault Feature Extraction of Consistent Optimization for Rolling Bearings Based on Correlated KurtosisLong Zhang0Binghuan Cai1Guoliang Xiong2Jianmin Zhou3Wenbin Tu4Yinquan Yu5School of Mechatronics ＆ Vehicle Engineering, East China Jiaotong University, Nanchang 330013, ChinaSchool of Mechatronics ＆ Vehicle Engineering, East China Jiaotong University, Nanchang 330013, ChinaSchool of Mechatronics ＆ Vehicle Engineering, East China Jiaotong University, Nanchang 330013, ChinaSchool of Mechatronics ＆ Vehicle Engineering, East China Jiaotong University, Nanchang 330013, ChinaSchool of Mechatronics ＆ Vehicle Engineering, East China Jiaotong University, Nanchang 330013, ChinaSchool of Mechatronics ＆ Vehicle Engineering, East China Jiaotong University, Nanchang 330013, ChinaFault diagnosis of rolling bearings is not a trivial task because fault-induced periodic transient impulses are always submerged in environmental noise as well as large accidental impulses and attenuated by transmission path. In most hybrid diagnostic methods available for rolling bearings, the problems lie in twofolds. First, most optimization indices used in the individual signal processing stage do not take the periodical characteristic of fault transient impulses into consideration. Second, the individual stages make use of different optimization indices resulting in inconsistent optimization directions and possibly an unsatisfied diagnosis. To solve these problems, a multistage fault feature extraction method of consistent optimization for rolling bearings based on correlated kurtosis (CK) is proposed where maximum correlated kurtosis deconvolution (MCKD) is employed to attenuate the influence of transmission path followed by tunable Q factor wavelet transform (TQWT) to further enhance fault features by decomposing the preprocessed signals into multiple subbands under different Q values. The major contribution of the proposed approach is to consistently use CK as an optimization index of both MCKD and TQWT. The subband signal with the maximum CK which is an index being able to measure the periodical transient impulses in vibration signal yields an envelope spectrum, from which fault diagnosis is implemented. Simulated and experimental signals verified the effectiveness and advantages of the proposed method.http://dx.doi.org/10.1155/2020/8846156 |
| spellingShingle | Long Zhang Binghuan Cai Guoliang Xiong Jianmin Zhou Wenbin Tu Yinquan Yu Multistage Fault Feature Extraction of Consistent Optimization for Rolling Bearings Based on Correlated Kurtosis Shock and Vibration |
| title | Multistage Fault Feature Extraction of Consistent Optimization for Rolling Bearings Based on Correlated Kurtosis |
| title_full | Multistage Fault Feature Extraction of Consistent Optimization for Rolling Bearings Based on Correlated Kurtosis |
| title_fullStr | Multistage Fault Feature Extraction of Consistent Optimization for Rolling Bearings Based on Correlated Kurtosis |
| title_full_unstemmed | Multistage Fault Feature Extraction of Consistent Optimization for Rolling Bearings Based on Correlated Kurtosis |
| title_short | Multistage Fault Feature Extraction of Consistent Optimization for Rolling Bearings Based on Correlated Kurtosis |
| title_sort | multistage fault feature extraction of consistent optimization for rolling bearings based on correlated kurtosis |
| url | http://dx.doi.org/10.1155/2020/8846156 |
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