Research on Fault Diagnosis Model of Rotating Machinery Vibration Based on Information Entropy and Improved SVM Article Swipe
Hankun Bing
,
Yuzhu Zhao
,
Le Pang
,
Minmin Zhao
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1051/e3sconf/201911802036
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1051/e3sconf/201911802036
Based on the concept of information entropy, this paper analyzes typical nonlinear vibration fault signals of steam turbine based on spectrum, wavelet and HHT theory methods, and extracts wavelet energy spectrum entropy, IMF energy spectrum entropy, time domain singular value entropy and frequency domain power spectrum entropy as faults. The feature is supported by a support vector machine (SVM) as a learning platform. The research results show that the fusion information entropy describes the vibration fault more comprehensively, and the support vector machine fault diagnosis model can achieve higher diagnostic accuracy.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1051/e3sconf/201911802036
- https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/44/e3sconf_icaeer18_02036.pdf
- OA Status
- diamond
- Cited By
- 3
- References
- 3
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2979084644
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2979084644Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1051/e3sconf/201911802036Digital Object Identifier
- Title
-
Research on Fault Diagnosis Model of Rotating Machinery Vibration Based on Information Entropy and Improved SVMWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-01-01Full publication date if available
- Authors
-
Hankun Bing, Yuzhu Zhao, Le Pang, Minmin ZhaoList of authors in order
- Landing page
-
https://doi.org/10.1051/e3sconf/201911802036Publisher landing page
- PDF URL
-
https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/44/e3sconf_icaeer18_02036.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/44/e3sconf_icaeer18_02036.pdfDirect OA link when available
- Concepts
-
Support vector machine, Entropy (arrow of time), Vibration, Artificial intelligence, Wavelet, Pattern recognition (psychology), Nonlinear system, Spectral density, Computer science, Engineering, Mathematics, Physics, Acoustics, Telecommunications, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 1, 2020: 2Per-year citation counts (last 5 years)
- References (count)
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3Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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