Fault diagnosis of marine electric thruster gearbox based on MPDCNN under strong noisy environments

Fault diagnosis of marine electric thruster gearbox based on MPDCNN under strong noisy environments

ObjectivesTo address the performance degradation in fault diagnosis of rotating machinery caused by noise interference in practical applications, a novel fault diagnosis approach based on Mel-frequency cepstral coefficients (MFCC) and a parallel dual-channel convolutional neural network (PDCNN) is p...

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Bibliographic Details
Main Authors: Qianming SHANG, Wanying JIANG, Yi ZHOU, Zhengqiang WANG, Yubo SUN
Format: Article
Language:English
Published: Editorial Office of Chinese Journal of Ship Research 2025-04-01
Series:Zhongguo Jianchuan Yanjiu
Subjects:
electric propulsion
gearboxes
failure analysis
fault diagnosis
feature extraction
mel-frequency cepstral coefficients
convolutional neural networks
Online Access:http://www.ship-research.com/en/article/doi/10.19693/j.issn.1673-3185.03814
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