Research on Denoising Method for Hydroelectric Unit Vibration Signal Based on ICEEMDAN–PE–SVD

Vibration monitoring and analysis play a crucial role in the fault diagnosis of hydroelectric units. However, accurate extraction and identification of fault features from vibration signals are challenging because of noise interference. To address this issue, this study proposes a novel denoising me...

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Principais autores:	Fangqing Zhang, Jiang Guo, Fang Yuan, Yongjie Shi, Zhaoyang Li
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2023-07-01
coleção:	Sensors
Assuntos:	vibration signal improved complementary ensemble empirical mode decomposition with adaptive noise permutation entropy singular value decomposition denoising
Acesso em linha:	https://www.mdpi.com/1424-8220/23/14/6368
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