A Brief Review of Acoustic and Vibration Signal-Based Fault Detection for Belt Conveyor Idlers Using Machine Learning Models

A Brief Review of Acoustic and Vibration Signal-Based Fault Detection for Belt Conveyor Idlers Using Machine Learning Models

Due to increasing demands for ensuring the safety and reliability of a system, fault detection (FD) has received considerable attention in modern industries to monitor their machines. Bulk materials are transported worldwide using belt conveyors as an essential transport system. The majority of conv...

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Bibliographic Details
Main Authors: Fahad Alharbi, Suhuai Luo, Hongyu Zhang, Kamran Shaukat, Guang Yang, Craig A. Wheeler, Zhiyong Chen
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Sensors
Subjects:
belt conveyor idlers
conveyor systems
deep learning
fault detection
machine learning
Online Access:https://www.mdpi.com/1424-8220/23/4/1902

Internet

https://www.mdpi.com/1424-8220/23/4/1902

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