Adaptive Feature Extraction Using Sparrow Search Algorithm-Variational Mode Decomposition for Low-Speed Bearing Fault Diagnosis

To address the challenge of extracting effective fault features at low speeds, where fault information is weak and heavily influenced by environmental noise, a parameter-adaptive variational mode decomposition (VMD) method is proposed. This method aims to overcome the limitations of traditional VMD,...

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Bibliographic Details
Main Authors:	Bing Wang, Haihong Tang, Xiaojia Zu, Peng Chen
Format:	Article
Language:	English
Published:	MDPI AG 2024-10-01
Series:	Sensors
Subjects:	fault diagnosis VMD sparrow search algorithm kurtosis criterion signal analysis low-speed bearing
Online Access:	https://www.mdpi.com/1424-8220/24/21/6801
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Adaptive Feature Extraction Using Sparrow Search Algorithm-Variational Mode Decomposition for Low-Speed Bearing Fault Diagnosis

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