GEAR FAULT IDENTIFICATION OF RVM BASED ON LCD BASE-SCALE ENTROPY
Aiming at the fact that the gear vibration signal would exactly display non-stationary characteristics and fault features is hard to extracted, a fault extraction method of gear based on multiscale base-scale entropy of LCD was proposed. The vibration signal was decomposed adaptively with local char...
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Mechanical Strength
2019-01-01
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| Series: | Jixie qiangdu |
| Subjects: | |
| Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2019.04.010 |
| _version_ | 1797767710379081728 |
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| author | CHEN Qing |
| author_facet | CHEN Qing |
| author_sort | CHEN Qing |
| collection | DOAJ |
| description | Aiming at the fact that the gear vibration signal would exactly display non-stationary characteristics and fault features is hard to extracted, a fault extraction method of gear based on multiscale base-scale entropy of LCD was proposed. The vibration signal was decomposed adaptively with local characteristic-scale decomposition（LCD） to obtain the components in different scales of the original signal. Considering the ability of the base-scale entropy in distinguishing the complexity of different signals effectively, the base-scale entropy of intrinsic scale components（ISCs） by LCD was calculated. Thus the complexity metric in different scales of the original signal was gained, which was consequently taken as the feature parameter to describe different gear states. The feature parameters were then put into relevance vector machine（RVM） for diagnosing the gear faults. Experiment results of gear show that the proposed method can classify typical fault of gear exactly and has certain superiority when compared with some other methods. |
| first_indexed | 2024-03-12T20:42:47Z |
| format | Article |
| id | doaj.art-1be8ac6cdfac4bc7bba96c15312a4481 |
| institution | Directory Open Access Journal |
| issn | 1001-9669 |
| language | zho |
| last_indexed | 2024-03-12T20:42:47Z |
| publishDate | 2019-01-01 |
| publisher | Editorial Office of Journal of Mechanical Strength |
| record_format | Article |
| series | Jixie qiangdu |
| spelling | doaj.art-1be8ac6cdfac4bc7bba96c15312a44812023-08-01T07:49:43ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692019-01-014182883230605465GEAR FAULT IDENTIFICATION OF RVM BASED ON LCD BASE-SCALE ENTROPYCHEN QingAiming at the fact that the gear vibration signal would exactly display non-stationary characteristics and fault features is hard to extracted, a fault extraction method of gear based on multiscale base-scale entropy of LCD was proposed. The vibration signal was decomposed adaptively with local characteristic-scale decomposition（LCD） to obtain the components in different scales of the original signal. Considering the ability of the base-scale entropy in distinguishing the complexity of different signals effectively, the base-scale entropy of intrinsic scale components（ISCs） by LCD was calculated. Thus the complexity metric in different scales of the original signal was gained, which was consequently taken as the feature parameter to describe different gear states. The feature parameters were then put into relevance vector machine（RVM） for diagnosing the gear faults. Experiment results of gear show that the proposed method can classify typical fault of gear exactly and has certain superiority when compared with some other methods.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2019.04.010Local characteristic-scale Decomposition;Base-scale entropy;Feature extraction;Gear |
| spellingShingle | CHEN Qing GEAR FAULT IDENTIFICATION OF RVM BASED ON LCD BASE-SCALE ENTROPY Jixie qiangdu Local characteristic-scale Decomposition;Base-scale entropy;Feature extraction;Gear |
| title | GEAR FAULT IDENTIFICATION OF RVM BASED ON LCD BASE-SCALE ENTROPY |
| title_full | GEAR FAULT IDENTIFICATION OF RVM BASED ON LCD BASE-SCALE ENTROPY |
| title_fullStr | GEAR FAULT IDENTIFICATION OF RVM BASED ON LCD BASE-SCALE ENTROPY |
| title_full_unstemmed | GEAR FAULT IDENTIFICATION OF RVM BASED ON LCD BASE-SCALE ENTROPY |
| title_short | GEAR FAULT IDENTIFICATION OF RVM BASED ON LCD BASE-SCALE ENTROPY |
| title_sort | gear fault identification of rvm based on lcd base scale entropy |
| topic | Local characteristic-scale Decomposition;Base-scale entropy;Feature extraction;Gear |
| url | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2019.04.010 |
| work_keys_str_mv | AT chenqing gearfaultidentificationofrvmbasedonlcdbasescaleentropy |