Legendre Multiwavelet Transform and Its Application in Bearing Fault Detection

Bearing failures often result from compound faults, where the characteristics of these compound faults span across multiple domains. To tackle the challenge of extracting features from compound faults, this paper proposes a novel fault detection method based on the Legendre multiwavelet transform (L...

Полное описание

Библиографические подробности

Главные авторы:	Xiaoyang Zheng, Zijian Lei, Zhixia Feng, Lei Chen
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2023-12-01
Серии:	Applied Sciences
Предметы:	rolling bearings fault diagnosis Legendre multiwavelet decomposition envelope spectrum analysis spectral segmentation
Online-ссылка:	https://www.mdpi.com/2076-3417/14/1/219
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