A multi-channel data-based fault diagnosis method integrating deep learning strategy for aircraft sensor system (English)
- New search for: Jia, Zhen
- Further information on Jia, Zhen:
- https://orcid.org/0000-0003-2960-8071
- New search for: Li, Yang
- Further information on Li, Yang:
- https://orcid.org/0000-0002-6037-7139
- New search for: Wang, Shengdong
- Further information on Wang, Shengdong:
- https://orcid.org/0000-0002-3065-4318
- New search for: Liu, Zhenbao
- Further information on Liu, Zhenbao:
- https://orcid.org/0000-0002-0030-275X
- New search for: Jia, Zhen
- Further information on Jia, Zhen:
- https://orcid.org/0000-0003-2960-8071
- New search for: Li, Yang
- Further information on Li, Yang:
- https://orcid.org/0000-0002-6037-7139
- New search for: Wang, Shengdong
- Further information on Wang, Shengdong:
- https://orcid.org/0000-0002-3065-4318
- New search for: Liu, Zhenbao
- Further information on Liu, Zhenbao:
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In:
Measurement Science and Technology
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34
, 2
;
2023
- Article (Journal) / Electronic Resource
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Title:A multi-channel data-based fault diagnosis method integrating deep learning strategy for aircraft sensor system
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Contributors:
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Published in:
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Publisher:
- New search for: IOP Publishing
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Publication date:2023-02-01
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Size:14 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 34, Issue 2
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
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A multi-channel data-based fault diagnosis method integrating deep learning strategy for aircraft sensor systemJia, Zhen / Li, Yang / Wang, Shengdong / Liu, Zhenbao et al. | 2023
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