跳到主要导航 跳到搜索 跳到主要内容

Development and trend of condition monitoring and fault diagnosis of multi-sensors information fusion for rolling bearings: a review

  • Zhihe Duan
  • , Tonghai Wu
  • , Shuaiwei Guo
  • , Tao Shao
  • , Reza Malekian
  • , Zhixiong Li
  • Xi'an Jiaotong University
  • University of Pretoria
  • China University of Mining and Technology
  • University of Wollongong

科研成果: 期刊稿件文章同行评审

200 引用 (Scopus)

摘要

A rolling bearing is an essential component of a rotating mechanical transmission system. Its performance and quality directly affects the life and reliability of machinery. Bearings’ performance and reliability need high requirements because of a more complex and poor working conditions of bearings. A bearing with high reliability reduces equipment operation accidents and equipment maintenance costs and achieves condition-based maintenance. First in this paper, the development of technology of the main individual physical condition monitoring and fault diagnosis of rolling bearings are introduced, then the fault diagnosis technology of multi-sensors information fusion is introduced, and finally, the advantages, disadvantages, and trends developed in the future of the detection main individual physics technology and multi-sensors information fusion technology are summarized. This paper is expected to provide the necessary basis for the follow-up study of the fault diagnosis of rolling bearings and a foundational knowledge for researchers about rolling bearings.

源语言英语
页(从-至)803-819
页数17
期刊International Journal of Advanced Manufacturing Technology
96
1-4
DOI
出版状态已出版 - 1 4月 2018

学术指纹

探究 'Development and trend of condition monitoring and fault diagnosis of multi-sensors information fusion for rolling bearings: a review' 的科研主题。它们共同构成独一无二的指纹。

引用此