L773:2327 4662
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Wave-ConvNeXt: An Efficient and Precise Fault Diagnosis Method for IIoT Leveraging Tailored ConvNeXt and Wavelet Transform
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- Zhang, Liangwei (author)
- Department of Industrial Engineering, Dongguan University of Technology, Dongguan, China
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- Lin, Jing (author)
- Luleå tekniska universitet,Drift, underhåll och akustik,Division of Product Realization, Mälardalen University, Eskilstuna, Sweden
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- Yang, Zhe (author)
- Department of Industrial Engineering, Dongguan University of Technology, Dongguan, China
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- (creator_code:org_t)
- IEEE, 2024
- 2024
- English.
- In: IEEE Internet of Things Journal. - : IEEE. - 2327-4662. ; 11:13, s. 23096-23109
- Journal article (peer-reviewed)
Subject headings
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Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorteknik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Engineering (hsv//eng)
Keyword
- Computational Efficiency
- Computational modeling
- Computer architecture
- Continuous wavelet transforms
- ConvNeXt Architecture
- Fault diagnosis
- Fault Diagnosis
- Industrial Internet of Things
- Industrial Internet of Things (IIoT)
- Time-frequency analysis
- Transforms
- Wavelet Transform
- Operation and Maintenance Engineering
- Drift och underhållsteknik
Publication and Content Type
- ref (subject category)
- art (subject category)
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- By the author/editor
- Zhang, Liangwei
- Lin, Jing
- Yang, Zhe
- Shao, Haidong
- Liu, Biyu
- Li, Chuan
- About the subject
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- NATURAL SCIENCES
- NATURAL SCIENCES
- and Computer and Inf ...
- and Computer Enginee ...
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- IEEE Internet of ...
- By the university
- Luleå University of Technology
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