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带式输送机托辊故障诊断及协同管控研究综述

邢震 田野新 包建军 齐智峰 周李兵 叶柏松 张蓉

工矿自动化2025,Vol.51Issue(3):39-53,15.
工矿自动化2025,Vol.51Issue(3):39-53,15.DOI:10.13272/j.issn.1671-251x.2025010005

带式输送机托辊故障诊断及协同管控研究综述

Review on idler fault diagnosis and coordinated control in belt conveyors

邢震 1田野新 2包建军 1齐智峰 3周李兵 3叶柏松 3张蓉1

作者信息

  • 1. 中煤科工集团常州研究院有限公司,江苏常州 213015||煤炭智能开采与岩层控制全国重点实验室,江苏常州 213015||天地(常州)自动化股份有限公司,江苏常州 213015
  • 2. 乔治亚理工学院计算机科学学院,华盛顿州贝尔维尤98005
  • 3. 中煤科工集团常州研究院有限公司,江苏常州 213015||天地(常州)自动化股份有限公司,江苏常州 213015
  • 折叠

摘要

Abstract

As a critical component of belt conveyors,idlers are prone to frequent failures,significantly impacting the efficiency and safety of coal mine operations.Extensive research has been conducted worldwide on idler fault diagnosis techniques and coordinated control strategies for belt conveyors.However,a universally accepted and effective monitoring and control framework is still lacking.This paper provides a comprehensive review of idler fault types and failure mechanisms,emphasizing the unique challenges associated with diagnosing faults in underground belt conveyors.The current state of research on idler fault diagnosis and post-failure coordinated control is systematically analyzed in four key areas:① Fault State Perception Technologies:The principles and applications of vibration,acoustic,thermal,and image-based sensing technologies are discussed.② Data Processing and Feature Extraction:Various signal processing methods and feature extraction strategies are examined.③ Fault Identification Methods:The evolution of idler fault identification techniques is reviewed,ranging from traditional approaches to advanced machine learning,deep learning,and multi-source information fusion.④ Post-Failure Coordinated Control:Challenges such as the high complexity of control systems,poor compatibility between different control strategies,and difficulties in ensuring the accuracy and real-time performance of condition monitoring data are highlighted.Despite notable advancements in idler fault diagnosis technologies,several challenges persist,including low fault identification accuracy,limited monitoring coverage,single-parameter detection,and the inability to classify faults or assess their severity.Furthermore,there is inadequate evaluation of potential fault-induced risks and a lack of comprehensive management strategies.Based on these findings,future research directions are proposed:advancing from single-parameter monitoring to multi-dimensional integrated monitoring,transitioning from sparse coverage to dense and comprehensive surveillance,shifting from surface-level diagnosis to in-depth analysis of fault evolution mechanisms,progressing from reactive responses to proactive fault prevention,and promoting the transformation from localized management to global coordinated control.

关键词

带式输送机托辊/托辊故障诊断/带式输送机协同管控/筒体破损/托辊轴承失效/筒体变形/主轴变形

Key words

belt conveyor idler/idler fault diagnosis/belt conveyor coordinated control/shell damage/idler bearing failure/shell deformation/spindle deformation

分类

矿业与冶金

引用本文复制引用

邢震,田野新,包建军,齐智峰,周李兵,叶柏松,张蓉..带式输送机托辊故障诊断及协同管控研究综述[J].工矿自动化,2025,51(3):39-53,15.

基金项目

江苏省科技成果转化专项资金项目(BA2022040) (BA2022040)

天地(常州)自动化股份有限公司科研项目(2024TY0001) (常州)

中国煤炭科工集团有限公司科技创新创业资金专项项目(2021-2-GH004). (2021-2-GH004)

工矿自动化

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