Fault Diagnosis of Gearboxes Based on AO-VMD and IAO-SVM
Aiming at the problems of improving the adaptability of variational mode decomposition (VMD) and in order to optimize the intrinsic mode function (IMF) and multi-fault classification, a gearbox fault diagnosis method is proposed, with which the Aquila optimizer (AO) optimizes VMD, the comprehensive...
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Editorial Office of Journal of Mechanical Transmission
2023-05-01
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| Series: | Jixie chuandong |
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| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2023.05.022 |
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| author | Wang Bo Nan Xinyuan |
| author_facet | Wang Bo Nan Xinyuan |
| author_sort | Wang Bo |
| collection | DOAJ |
| description | Aiming at the problems of improving the adaptability of variational mode decomposition (VMD) and in order to optimize the intrinsic mode function (IMF) and multi-fault classification, a gearbox fault diagnosis method is proposed, with which the Aquila optimizer (AO) optimizes VMD, the comprehensive evaluation model optimizes IMF, and improves the Aquila optimizer optimization support vector machine (IAO-SVM). Firstly, AO is used to optimize the parameters of VMD and decompose the original signal. Secondly, a CRITIC-TOPSIS comprehensive evaluation model based on correlation coefficient, kurtosis, envelope entropy, energy entropy is constructed to optimize IMF, and energy entropy is extracted to establish feature vectors. Finally, it is input into IAO-SVM to identify faults. The effectiveness of this method is verified by experiments. |
| format | Article |
| id | doaj-art-f413d5a8eb044685861c86cf98d24874 |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2023-05-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-f413d5a8eb044685861c86cf98d248742025-01-10T14:58:00ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392023-05-014714314938199492Fault Diagnosis of Gearboxes Based on AO-VMD and IAO-SVMWang BoNan XinyuanAiming at the problems of improving the adaptability of variational mode decomposition (VMD) and in order to optimize the intrinsic mode function (IMF) and multi-fault classification, a gearbox fault diagnosis method is proposed, with which the Aquila optimizer (AO) optimizes VMD, the comprehensive evaluation model optimizes IMF, and improves the Aquila optimizer optimization support vector machine (IAO-SVM). Firstly, AO is used to optimize the parameters of VMD and decompose the original signal. Secondly, a CRITIC-TOPSIS comprehensive evaluation model based on correlation coefficient, kurtosis, envelope entropy, energy entropy is constructed to optimize IMF, and energy entropy is extracted to establish feature vectors. Finally, it is input into IAO-SVM to identify faults. The effectiveness of this method is verified by experiments.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2023.05.022Aquila optimizerVariational mode decompositionComprehensive evaluation modelImproved aquila optimizer algorithmSupport vector machine |
| spellingShingle | Wang Bo Nan Xinyuan Fault Diagnosis of Gearboxes Based on AO-VMD and IAO-SVM Jixie chuandong Aquila optimizer Variational mode decomposition Comprehensive evaluation model Improved aquila optimizer algorithm Support vector machine |
| title | Fault Diagnosis of Gearboxes Based on AO-VMD and IAO-SVM |
| title_full | Fault Diagnosis of Gearboxes Based on AO-VMD and IAO-SVM |
| title_fullStr | Fault Diagnosis of Gearboxes Based on AO-VMD and IAO-SVM |
| title_full_unstemmed | Fault Diagnosis of Gearboxes Based on AO-VMD and IAO-SVM |
| title_short | Fault Diagnosis of Gearboxes Based on AO-VMD and IAO-SVM |
| title_sort | fault diagnosis of gearboxes based on ao vmd and iao svm |
| topic | Aquila optimizer Variational mode decomposition Comprehensive evaluation model Improved aquila optimizer algorithm Support vector machine |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2023.05.022 |
| work_keys_str_mv | AT wangbo faultdiagnosisofgearboxesbasedonaovmdandiaosvm AT nanxinyuan faultdiagnosisofgearboxesbasedonaovmdandiaosvm |