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

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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