机械工程与自动化2024,Issue(1) :218-220.

采煤机摇臂滚动轴承故障诊断研究综述

Review of Fault Diagnosis Research on Rocker Arm Rolling Bearings in Coal Mining Machines

聂宇波
机械工程与自动化2024,Issue(1) :218-220.

采煤机摇臂滚动轴承故障诊断研究综述

Review of Fault Diagnosis Research on Rocker Arm Rolling Bearings in Coal Mining Machines

聂宇波1
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作者信息

  • 1. 山西焦煤 西山煤电 西曲矿,山西 太原 030200
  • 折叠

摘要

首先介绍了采煤机摇臂滚动轴承的故障特征和诊断方法,随后着重介绍了基于机器学习和人工智能的故障诊断方法在滚动轴承故障诊断领域的发展和应用,最后,在近年来研究进展的基础上,探讨了其在未来发展的方向.

Abstract

Firstly,the fault characteristics and diagnosis methods of rocker arm rolling bearings are introduced.Then it focuses on the development and application of fault diagnosis methods based on machine learning and artificial intelligence in this field.Finally,on the basis of the research progress recently,the direction of its development in the future is discussed.

关键词

滚动轴承/故障诊断/机器学习/人工智能

Key words

rolling bearing/fault diagnosis/machine learning/artificial intelligence

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出版年

2024
机械工程与自动化
山西省机电设计研究院 山西省机械工程学会

机械工程与自动化

影响因子:0.251
ISSN:1672-6413
参考文献量5
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