Marine motor fault diagnosis based on CEEMDAN and BRECAN under strong noise conditions

Marine motor fault diagnosis based on CEEMDAN and BRECAN under strong noise conditions

ObjectiveThe background noise in the engine room during actual ship navigation leads to the poor accuracy in fault diagnosis methods. To address this issue, this paper proposes a ship motor fault diagnosis method based on complementary ensemble empirical mode decomposition (EEMD) with adaptive noise...

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Bibliographic Details
Main Authors: Renjie ZHU, Enzhe SONG, Chong YAO, Yun KE
Format: Article
Language:English
Published: Editorial Office of Chinese Journal of Ship Research 2025-04-01
Series:Zhongguo Jianchuan Yanjiu
Subjects:
electric motors
failure analysis
fault diagnosis
artificial intelligence
complementary ensemble empirical mode decomposition with adaptive noise
bayesian residual efficient channel attention network
Online Access:http://www.ship-research.com/en/article/doi/10.19693/j.issn.1673-3185.04059
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http://www.ship-research.com/en/article/doi/10.19693/j.issn.1673-3185.04059

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