Gearbox Fault Diagnosis Based on ALIF-PE-GOLSSVM
An adaptive local iterative filtering (ALIF) and permutation entropy (PE) fault diagnosis method based on gene optimized least squares support vector machine (GOLSSVM) is proposed. The method is applied to the diagnosis of gearboxes, and the identification of four fault types of gearboxes is success...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Transmission
2022-11-01
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| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.11.023 |
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| _version_ | 1841547058320769024 |
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| author | Huang Ying Li Ximei Ye Renhu Wang Rui |
| author_facet | Huang Ying Li Ximei Ye Renhu Wang Rui |
| author_sort | Huang Ying |
| collection | DOAJ |
| description | An adaptive local iterative filtering (ALIF) and permutation entropy (PE) fault diagnosis method based on gene optimized least squares support vector machine (GOLSSVM) is proposed. The method is applied to the diagnosis of gearboxes, and the identification of four fault types of gearboxes is successfully realized. Aiming at the problem that permutation entropy cannot directly identify different fault categories of gearboxes, the advantages of ALIF method in removing residual noise and suppressing mode aliasing compared with EMD method are used, and the ALIF method is used to reduce noise and extract effective components. Then the PE value with component (C-PE value) is calculated to obtain the multi-scale characteristics of vibration signals. Then the genetic algorithm is used to optimize the least squares support vector machine (LSSVM). Finally, the feature vector is input into GOLSSVM to classify the fault features. The results show that the proposed method has advantages in fault recognition accuracy compared with BP neural network and SVM. |
| format | Article |
| id | doaj-art-c410c249b96b4b29918c26ee5fb58da3 |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2022-11-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-c410c249b96b4b29918c26ee5fb58da32025-01-10T14:56:25ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392022-11-014614615332292165Gearbox Fault Diagnosis Based on ALIF-PE-GOLSSVMHuang YingLi XimeiYe RenhuWang RuiAn adaptive local iterative filtering (ALIF) and permutation entropy (PE) fault diagnosis method based on gene optimized least squares support vector machine (GOLSSVM) is proposed. The method is applied to the diagnosis of gearboxes, and the identification of four fault types of gearboxes is successfully realized. Aiming at the problem that permutation entropy cannot directly identify different fault categories of gearboxes, the advantages of ALIF method in removing residual noise and suppressing mode aliasing compared with EMD method are used, and the ALIF method is used to reduce noise and extract effective components. Then the PE value with component (C-PE value) is calculated to obtain the multi-scale characteristics of vibration signals. Then the genetic algorithm is used to optimize the least squares support vector machine (LSSVM). Finally, the feature vector is input into GOLSSVM to classify the fault features. The results show that the proposed method has advantages in fault recognition accuracy compared with BP neural network and SVM.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.11.023Gene optimizationSupport vector machineAdaptive local iterative filteringPermutation entropy |
| spellingShingle | Huang Ying Li Ximei Ye Renhu Wang Rui Gearbox Fault Diagnosis Based on ALIF-PE-GOLSSVM Jixie chuandong Gene optimization Support vector machine Adaptive local iterative filtering Permutation entropy |
| title | Gearbox Fault Diagnosis Based on ALIF-PE-GOLSSVM |
| title_full | Gearbox Fault Diagnosis Based on ALIF-PE-GOLSSVM |
| title_fullStr | Gearbox Fault Diagnosis Based on ALIF-PE-GOLSSVM |
| title_full_unstemmed | Gearbox Fault Diagnosis Based on ALIF-PE-GOLSSVM |
| title_short | Gearbox Fault Diagnosis Based on ALIF-PE-GOLSSVM |
| title_sort | gearbox fault diagnosis based on alif pe golssvm |
| topic | Gene optimization Support vector machine Adaptive local iterative filtering Permutation entropy |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.11.023 |
| work_keys_str_mv | AT huangying gearboxfaultdiagnosisbasedonalifpegolssvm AT liximei gearboxfaultdiagnosisbasedonalifpegolssvm AT yerenhu gearboxfaultdiagnosisbasedonalifpegolssvm AT wangrui gearboxfaultdiagnosisbasedonalifpegolssvm |