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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Главные авторы:	Fangqing Zhang, Jiang Guo, Fang Yuan, Yongjie Shi, Zhaoyang Li
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2023-07-01
Серии:	Sensors
Предметы:	vibration signal improved complementary ensemble empirical mode decomposition with adaptive noise permutation entropy singular value decomposition denoising
Online-ссылка:	https://www.mdpi.com/1424-8220/23/14/6368
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