Intelligent Detection Method of Gearbox Based on Adaptive Hierarchical Clustering and Subset Article Swipe
Huimiao Yuan
,
Yongwei Tang
,
Huijuan Hao
,
Yuanyuan Zhao
,
Yu Zhang
,
Yu Chen
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1155/2022/6464516
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1155/2022/6464516
Deep learning uses mechanical time-frequency signals to train deep neural networks, which realizes automatic feature extraction and intelligent diagnosis of fault features and gets rid of the dependence on a large number of signal processing technology and experience. Aiming at the problem of misclassification of similar samples, a fault diagnosis algorithm based on adaptive hierarchical clustering and subset (AHC-SFD) is proposed to extract features and applied to gearbox fault diagnosis. Firstly, the adaptive hierarchical clustering algorithm is used to analyze the characteristics of different data, and then the data set is clustered into multiple feature groups; finally, according to the feature group, the SubCNN model is established for multiscale feature extraction, so as to carry out fault diagnosis. The test results show that the fault recognition rate achieved by the proposed method is more than 99.7% on the gearbox dataset, and the method has better generalization ability.
Related Topics
Concepts
Computer science
Cluster analysis
Pattern recognition (psychology)
Feature extraction
Artificial intelligence
Feature (linguistics)
Fault (geology)
Generalization
Artificial neural network
Data set
Set (abstract data type)
Data mining
Mathematics
Philosophy
Programming language
Geology
Linguistics
Seismology
Mathematical analysis
Metadata
- Type
- article
- Language
- en
- Landing Page
- http://doi.org/10.1155/2022/6464516
- https://downloads.hindawi.com/journals/cin/2022/6464516.pdf
- OA Status
- hybrid
- Cited By
- 1
- References
- 10
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4293694079
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4293694079Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1155/2022/6464516Digital Object Identifier
- Title
-
Intelligent Detection Method of Gearbox Based on Adaptive Hierarchical Clustering and SubsetWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-08-30Full publication date if available
- Authors
-
Huimiao Yuan, Yongwei Tang, Huijuan Hao, Yuanyuan Zhao, Yu Zhang, Yu ChenList of authors in order
- Landing page
-
https://doi.org/10.1155/2022/6464516Publisher landing page
- PDF URL
-
https://downloads.hindawi.com/journals/cin/2022/6464516.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
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https://downloads.hindawi.com/journals/cin/2022/6464516.pdfDirect OA link when available
- Concepts
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Computer science, Cluster analysis, Pattern recognition (psychology), Feature extraction, Artificial intelligence, Feature (linguistics), Fault (geology), Generalization, Artificial neural network, Data set, Set (abstract data type), Data mining, Mathematics, Philosophy, Programming language, Geology, Linguistics, Seismology, Mathematical analysisTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
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2023: 1Per-year citation counts (last 5 years)
- References (count)
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10Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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