A Novel Parameter-Adaptive VMD Method Based on Grey Wolf Optimization with Minimum Average Mutual Information for Incipient Fault Detection
Recently, variational mode decomposition (VMD) has attracted wide attention on mechanical vibration signal analysis. However, there are still some dilemmas in the application of VMD, such as the determination of the number of mode decomposition K and quadratic penalty term α. In order to acquire app...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2021/6640387 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850156915627130880 |
|---|---|
| author | Wang Xu Jinfei Hu |
| author_facet | Wang Xu Jinfei Hu |
| author_sort | Wang Xu |
| collection | DOAJ |
| description | Recently, variational mode decomposition (VMD) has attracted wide attention on mechanical vibration signal analysis. However, there are still some dilemmas in the application of VMD, such as the determination of the number of mode decomposition K and quadratic penalty term α. In order to acquire appropriate parameters of VMD, an improved parameter-adaptive VMD method based on grey wolf optimizer (GWO) is developed by taking the minimum average mutual information into consideration (GWOMI). Firstly, the parameters (K, α) are adaptively determined through GWOMI. Then, the vibration signal is decomposed by the developed method and effective modes are extracted according to the maximum kurtosis. Finally, the extracted modes are processed by Hilbert envelope analysis to acquire the incipient fault features. With the simulation and experimental analysis, it is clearly found that the developed method is effective and performs better than some existing ones. |
| format | Article |
| id | doaj-art-328edc7251114a15a786eb8cd5e2c038 |
| institution | OA Journals |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-328edc7251114a15a786eb8cd5e2c0382025-08-20T02:24:21ZengWileyShock and Vibration1070-96221875-92032021-01-01202110.1155/2021/66403876640387A Novel Parameter-Adaptive VMD Method Based on Grey Wolf Optimization with Minimum Average Mutual Information for Incipient Fault DetectionWang Xu0Jinfei Hu1School of Marine Engineering Equipments, Zhejiang Ocean University, Zhoushan, Zhejiang 316022, ChinaNational Engineering Research Center for Marine Aquaculture, Institute of Innovation and Application, Zhejiang Ocean University, Zhoushan, Zhejiang 316022, ChinaRecently, variational mode decomposition (VMD) has attracted wide attention on mechanical vibration signal analysis. However, there are still some dilemmas in the application of VMD, such as the determination of the number of mode decomposition K and quadratic penalty term α. In order to acquire appropriate parameters of VMD, an improved parameter-adaptive VMD method based on grey wolf optimizer (GWO) is developed by taking the minimum average mutual information into consideration (GWOMI). Firstly, the parameters (K, α) are adaptively determined through GWOMI. Then, the vibration signal is decomposed by the developed method and effective modes are extracted according to the maximum kurtosis. Finally, the extracted modes are processed by Hilbert envelope analysis to acquire the incipient fault features. With the simulation and experimental analysis, it is clearly found that the developed method is effective and performs better than some existing ones.http://dx.doi.org/10.1155/2021/6640387 |
| spellingShingle | Wang Xu Jinfei Hu A Novel Parameter-Adaptive VMD Method Based on Grey Wolf Optimization with Minimum Average Mutual Information for Incipient Fault Detection Shock and Vibration |
| title | A Novel Parameter-Adaptive VMD Method Based on Grey Wolf Optimization with Minimum Average Mutual Information for Incipient Fault Detection |
| title_full | A Novel Parameter-Adaptive VMD Method Based on Grey Wolf Optimization with Minimum Average Mutual Information for Incipient Fault Detection |
| title_fullStr | A Novel Parameter-Adaptive VMD Method Based on Grey Wolf Optimization with Minimum Average Mutual Information for Incipient Fault Detection |
| title_full_unstemmed | A Novel Parameter-Adaptive VMD Method Based on Grey Wolf Optimization with Minimum Average Mutual Information for Incipient Fault Detection |
| title_short | A Novel Parameter-Adaptive VMD Method Based on Grey Wolf Optimization with Minimum Average Mutual Information for Incipient Fault Detection |
| title_sort | novel parameter adaptive vmd method based on grey wolf optimization with minimum average mutual information for incipient fault detection |
| url | http://dx.doi.org/10.1155/2021/6640387 |
| work_keys_str_mv | AT wangxu anovelparameteradaptivevmdmethodbasedongreywolfoptimizationwithminimumaveragemutualinformationforincipientfaultdetection AT jinfeihu anovelparameteradaptivevmdmethodbasedongreywolfoptimizationwithminimumaveragemutualinformationforincipientfaultdetection AT wangxu novelparameteradaptivevmdmethodbasedongreywolfoptimizationwithminimumaveragemutualinformationforincipientfaultdetection AT jinfeihu novelparameteradaptivevmdmethodbasedongreywolfoptimizationwithminimumaveragemutualinformationforincipientfaultdetection |