Multi-representation symbolic convolutional neural network: a novel multisource cross-domain fault diagnosis method for rotating system
Autor(en): |
Sixiang Jia
(School of Aeronautics, Northwestern Polytechnical University, Xi’an, Shaanxi, China)
Yongbo Li (School of Aeronautics, Northwestern Polytechnical University, Xi’an, Shaanxi, China) Gang Mao (School of Aeronautics, Northwestern Polytechnical University, Xi’an, Shaanxi, China) Khandaker Noman (School of Aeronautics, Northwestern Polytechnical University, Xi’an, Shaanxi, China) |
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Medium: | Fachartikel |
Sprache(n): | Englisch |
Veröffentlicht in: | Structural Health Monitoring, April 2023, n. 6, v. 22 |
Seite(n): | 147592172311574 |
DOI: | 10.1177/14759217231157487 |
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Datenseite - Reference-ID
10730080 - Veröffentlicht am:
30.05.2023 - Geändert am:
14.01.2024