Improved deep residual shrinkage network for a multi-cylinder heavy-duty engine fault detection with single channel surface vibration

The health monitoring and fault diagnosis of heavy-duty engines are increasingly important for energy storage ecosystem. During operation, vibration characters corresponding to the specific fault need to be extracted from the overall system vibration. Faulty characteristics emanating from one single...

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Bibliografske podrobnosti

Principais autores:	Xiaolong Zhu, Junhong Zhang, Xinwei Wang, Hui Wang, Yedong Song, Guobin Pei, Xin Gou, Linlong Deng, Jiewei Lin
Format:	Artigo
Jezik:	Inglês
Izdano:	Elsevier 2024-05-01
Serija:	Energy and AI
Teme:	Improved deep residual shrinkage network Fault diagnosis Engine Vibration signal Multiple working conditions Deep learning
Online dostop:	http://www.sciencedirect.com/science/article/pii/S2666546824000223
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