Intelligent Fault Diagnosis Method Based on VMD-Hilbert Spectrum and ShuffleNet-V2: Application to the Gears in a Mine Scraper Conveyor Gearbox

Intelligent Fault Diagnosis Method Based on VMD-Hilbert Spectrum and ShuffleNet-V2: Application to the Gears in a Mine Scraper Conveyor Gearbox

This paper introduces a fault diagnosis method for mine scraper conveyor gearbox gears using motor current signature analysis (MCSA). This approach solves problems related to gear fault characteristics that are affected by coal flow load and power frequency, which are difficult to extract efficientl...

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Bibliographic Details
Main Authors: Weibing Wang, Shuai Guo, Shuanfeng Zhao, Zhengxiong Lu, Zhizhong Xing, Zelin Jing, Zheng Wei, Yuan Wang
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Sensors
Subjects:
MCSA
load impact
VMD
GA
Hilbert spectrum
ShuffleNet-V2
Online Access:https://www.mdpi.com/1424-8220/23/10/4951

Internet

https://www.mdpi.com/1424-8220/23/10/4951

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