Sound Based Fault Diagnosis Method Based on Variational Mode Decomposition and Support Vector Machine Article Swipe
Xiaojing Yin
,
Qiangqiang He
,
Hao Zhang
,
Ziran Qin
,
Bangcheng Zhang
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/electronics11152422
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/electronics11152422
In industry, it is difficult to obtain data for monitoring equipment operation, as mechanical and electrical components tend to be complicated in nature. Considering the contactless and convenient acquisition of sound signals, a method based on variational mode decomposition and support vector machine via sound signals is proposed to accurately perform fault diagnoses. Firstly, variational mode decomposition is conducted to obtain intrinsic mode functions. The fisher criterion and canonical discriminant function are applied to overcome the fault diagnosis accuracy decline caused by intrinsic mode functions with multiple features. Then, the fault features obtained from these intrinsic mode functions are chosen as the final fault features. Experiments on a car folding rearview mirror based on sound signals were used to verify the superiority and feasibility of the proposed method. To further verify the superiority of the proposed model, these final fault features were taken as the input to the following classifiers to identify fault categories: support vector machine, k-nearest neighbors, and decision tree. The model support vector machine achieved an accuracy of 95.8%, i.e., better than the 95% and 94.2% of the other two models.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/electronics11152422
- https://www.mdpi.com/2079-9292/11/15/2422/pdf?version=1659527300
- OA Status
- gold
- Cited By
- 10
- References
- 24
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4289705045
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4289705045Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/electronics11152422Digital Object Identifier
- Title
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Sound Based Fault Diagnosis Method Based on Variational Mode Decomposition and Support Vector MachineWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
-
2022-08-03Full publication date if available
- Authors
-
Xiaojing Yin, Qiangqiang He, Hao Zhang, Ziran Qin, Bangcheng ZhangList of authors in order
- Landing page
-
https://doi.org/10.3390/electronics11152422Publisher landing page
- PDF URL
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https://www.mdpi.com/2079-9292/11/15/2422/pdf?version=1659527300Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/2079-9292/11/15/2422/pdf?version=1659527300Direct OA link when available
- Concepts
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Support vector machine, Fault (geology), Mode (computer interface), Computer science, Pattern recognition (psychology), Linear discriminant analysis, Artificial intelligence, Hilbert–Huang transform, Discriminant, Algorithm, Computer vision, Filter (signal processing), Geology, Operating system, SeismologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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10Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3, 2024: 4, 2023: 2, 2022: 1Per-year citation counts (last 5 years)
- References (count)
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24Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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