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Wave-ConvNeXt: An E...
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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- Shao, Haidong (author)
- State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, College of Mechanical and Vehicle Engineering, Hunan University, Changsha, China
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- Liu, Biyu (author)
- School of Economics and Management, Fuzhou University, Fuzhou, China
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- Li, Chuan (author)
- Department of Industrial Engineering, Dongguan University of Technology, Dongguan, China
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(creator_code:org_t)
- IEEE, 2024
- 2024
- English.
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In: IEEE Internet of Things Journal. - : IEEE. - 2327-4662. ; 11:13, s. 23096-23109
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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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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