Application of Adaptive Local Iterative Filtering and Fuzzy Entropy in Gear Fault Identification
Aiming at the problem that the measured signal of gear system can’t accurately reflect the fault characteristics due to noise interference， a fault identification method combining adaptive local iterative filtering and fuzzy entropy is proposed. By using adaptive local iterative filtering， the nonst...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Transmission
2021-05-01
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| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2021.05.022 |
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| _version_ | 1841547279428747264 |
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| author | Wenbin Zhang Jie Jiang Yasong Pu Libin Yu Dewei Guo Jie Min |
| author_facet | Wenbin Zhang Jie Jiang Yasong Pu Libin Yu Dewei Guo Jie Min |
| author_sort | Wenbin Zhang |
| collection | DOAJ |
| description | Aiming at the problem that the measured signal of gear system can’t accurately reflect the fault characteristics due to noise interference， a fault identification method combining adaptive local iterative filtering and fuzzy entropy is proposed. By using adaptive local iterative filtering， the nonstationary signals of gears can be decomposed into finite stationary intrinsic mode functions. Since the adaptive local iterative filtering can effectively separate the rotating frequency signals of gear system， the fuzzy entropy of the first several intrinsic mode functions is calculated based on the intrinsic mode functions corresponding to the rotating frequency signals. Finally， grey relevance degree of the vibration signal’s fuzzy entropy under different working conditions is calculated to identify different fault types of gear system. The results show that the method can be effectively applied to the fault diagnosis of gear system. |
| format | Article |
| id | doaj-art-3a1a5d511e2c46d89dd5c90cb6af63ba |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2021-05-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-3a1a5d511e2c46d89dd5c90cb6af63ba2025-01-10T14:49:09ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392021-05-014514615210227615Application of Adaptive Local Iterative Filtering and Fuzzy Entropy in Gear Fault IdentificationWenbin ZhangJie JiangYasong PuLibin YuDewei GuoJie MinAiming at the problem that the measured signal of gear system can’t accurately reflect the fault characteristics due to noise interference， a fault identification method combining adaptive local iterative filtering and fuzzy entropy is proposed. By using adaptive local iterative filtering， the nonstationary signals of gears can be decomposed into finite stationary intrinsic mode functions. Since the adaptive local iterative filtering can effectively separate the rotating frequency signals of gear system， the fuzzy entropy of the first several intrinsic mode functions is calculated based on the intrinsic mode functions corresponding to the rotating frequency signals. Finally， grey relevance degree of the vibration signal’s fuzzy entropy under different working conditions is calculated to identify different fault types of gear system. The results show that the method can be effectively applied to the fault diagnosis of gear system.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2021.05.022Fault analysisGearSignal processingAdaptive local iterative filteringFuzzy entropy |
| spellingShingle | Wenbin Zhang Jie Jiang Yasong Pu Libin Yu Dewei Guo Jie Min Application of Adaptive Local Iterative Filtering and Fuzzy Entropy in Gear Fault Identification Jixie chuandong Fault analysis Gear Signal processing Adaptive local iterative filtering Fuzzy entropy |
| title | Application of Adaptive Local Iterative Filtering and Fuzzy Entropy in Gear Fault Identification |
| title_full | Application of Adaptive Local Iterative Filtering and Fuzzy Entropy in Gear Fault Identification |
| title_fullStr | Application of Adaptive Local Iterative Filtering and Fuzzy Entropy in Gear Fault Identification |
| title_full_unstemmed | Application of Adaptive Local Iterative Filtering and Fuzzy Entropy in Gear Fault Identification |
| title_short | Application of Adaptive Local Iterative Filtering and Fuzzy Entropy in Gear Fault Identification |
| title_sort | application of adaptive local iterative filtering and fuzzy entropy in gear fault identification |
| topic | Fault analysis Gear Signal processing Adaptive local iterative filtering Fuzzy entropy |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2021.05.022 |
| work_keys_str_mv | AT wenbinzhang applicationofadaptivelocaliterativefilteringandfuzzyentropyingearfaultidentification AT jiejiang applicationofadaptivelocaliterativefilteringandfuzzyentropyingearfaultidentification AT yasongpu applicationofadaptivelocaliterativefilteringandfuzzyentropyingearfaultidentification AT libinyu applicationofadaptivelocaliterativefilteringandfuzzyentropyingearfaultidentification AT deweiguo applicationofadaptivelocaliterativefilteringandfuzzyentropyingearfaultidentification AT jiemin applicationofadaptivelocaliterativefilteringandfuzzyentropyingearfaultidentification |