Weak Multiple Fault Detection Based on Weighted Morlet Wavelet-Overlapping Group Sparse for Rolling Bearing Fault Diagnosis
As one of the important parts of a mechanical transmission system, a rolling bearing often has multiple faults coexisting, and the mutual coupling between multiple faults poses a challenge for accurate diagnosis of rolling bearings. Aiming at the above problems, this paper proposes a weighted Morlet...
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| Format: | Article |
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MDPI AG
2020-03-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/10/6/2057 |
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| author | Wan Zhang Yu Ding Xiaoan Yan Minping Jia |
| author_facet | Wan Zhang Yu Ding Xiaoan Yan Minping Jia |
| author_sort | Wan Zhang |
| collection | DOAJ |
| description | As one of the important parts of a mechanical transmission system, a rolling bearing often has multiple faults coexisting, and the mutual coupling between multiple faults poses a challenge for accurate diagnosis of rolling bearings. Aiming at the above problems, this paper proposes a weighted Morlet wavelet-overlapping group sparse (WOGS) algorithm for the multiple fault diagnosis of rolling bearings. On the basis of the overlapping feature of Morlet wavelet transform coefficients, a WOGS optimization model was initially constructed. Thereafter, the weight coefficients in the model were constructed by analyzing the impulse features of the signal. Thus, majorization-minimization was used to solve the optimization problem. A case study on weak multiple fault diagnosis of rolling bearings was performed to validate the effectiveness of the WOGS algorithm. Quantitative indexes are used to further discuss the extraction accuracies of different algorithms, and the results show that the proposed algorithm exhibits better performance than other algorithms. |
| first_indexed | 2024-12-11T02:15:01Z |
| format | Article |
| id | doaj.art-fd87e5069a6f4c8991a72ad1f17fe466 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-11T02:15:01Z |
| publishDate | 2020-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-fd87e5069a6f4c8991a72ad1f17fe4662022-12-22T01:24:12ZengMDPI AGApplied Sciences2076-34172020-03-01106205710.3390/app10062057app10062057Weak Multiple Fault Detection Based on Weighted Morlet Wavelet-Overlapping Group Sparse for Rolling Bearing Fault DiagnosisWan Zhang0Yu Ding1Xiaoan Yan2Minping Jia3Department of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaDepartment of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaSchool of Mechanical and Electronic Engineering, Nanjing Forest University, Nanjing 210037, ChinaSchool of Mechanical Engineering, Southeast University, Nanjing 211102, ChinaAs one of the important parts of a mechanical transmission system, a rolling bearing often has multiple faults coexisting, and the mutual coupling between multiple faults poses a challenge for accurate diagnosis of rolling bearings. Aiming at the above problems, this paper proposes a weighted Morlet wavelet-overlapping group sparse (WOGS) algorithm for the multiple fault diagnosis of rolling bearings. On the basis of the overlapping feature of Morlet wavelet transform coefficients, a WOGS optimization model was initially constructed. Thereafter, the weight coefficients in the model were constructed by analyzing the impulse features of the signal. Thus, majorization-minimization was used to solve the optimization problem. A case study on weak multiple fault diagnosis of rolling bearings was performed to validate the effectiveness of the WOGS algorithm. Quantitative indexes are used to further discuss the extraction accuracies of different algorithms, and the results show that the proposed algorithm exhibits better performance than other algorithms.https://www.mdpi.com/2076-3417/10/6/2057overlapping group sparsemultiple fault diagnosismorlet wavelet transformrolling bearingsparse optimization |
| spellingShingle | Wan Zhang Yu Ding Xiaoan Yan Minping Jia Weak Multiple Fault Detection Based on Weighted Morlet Wavelet-Overlapping Group Sparse for Rolling Bearing Fault Diagnosis Applied Sciences overlapping group sparse multiple fault diagnosis morlet wavelet transform rolling bearing sparse optimization |
| title | Weak Multiple Fault Detection Based on Weighted Morlet Wavelet-Overlapping Group Sparse for Rolling Bearing Fault Diagnosis |
| title_full | Weak Multiple Fault Detection Based on Weighted Morlet Wavelet-Overlapping Group Sparse for Rolling Bearing Fault Diagnosis |
| title_fullStr | Weak Multiple Fault Detection Based on Weighted Morlet Wavelet-Overlapping Group Sparse for Rolling Bearing Fault Diagnosis |
| title_full_unstemmed | Weak Multiple Fault Detection Based on Weighted Morlet Wavelet-Overlapping Group Sparse for Rolling Bearing Fault Diagnosis |
| title_short | Weak Multiple Fault Detection Based on Weighted Morlet Wavelet-Overlapping Group Sparse for Rolling Bearing Fault Diagnosis |
| title_sort | weak multiple fault detection based on weighted morlet wavelet overlapping group sparse for rolling bearing fault diagnosis |
| topic | overlapping group sparse multiple fault diagnosis morlet wavelet transform rolling bearing sparse optimization |
| url | https://www.mdpi.com/2076-3417/10/6/2057 |
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