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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Xiaolong Zhu, Junhong Zhang, Xinwei Wang, Hui Wang, Yedong Song, Guobin Pei, Xin Gou, Linlong Deng, Jiewei Lin
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Elsevier 2024-05-01
Sarja:	Energy and AI
Aiheet:	Improved deep residual shrinkage network Fault diagnosis Engine Vibration signal Multiple working conditions Deep learning
Linkit:	http://www.sciencedirect.com/science/article/pii/S2666546824000223
Tagit:	Lisää tagi Ei tageja, Lisää ensimmäinen tagi!