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Bearing Fault Diagnosis Based on Embedded Multiple Sensors

[+] Author Affiliations
Yimin Shao, Liang Ge, Jieping Fang

Chongqing University, Chongqing, China

Chris K. Mechefske

Queen’s University, Kingston, ON, Canada

Paper No. DETC2009-86856, pp. 111-115; 5 pages
doi:10.1115/DETC2009-86856
From:
  • ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 1: 22nd Biennial Conference on Mechanical Vibration and Noise, Parts A and B
  • San Diego, California, USA, August 30–September 2, 2009
  • Conference Sponsors: Design Engineering Division and Computers in Engineering Division
  • ISBN: 978-0-7918-4898-2 | eISBN: 978-0-7918-3856-3
  • Copyright © 2009 by ASME

abstract

Multiple sensors embedded in a bearing not only allow for the collection of accurate information related to the bearing operational state, but may also provide data for fault detection and diagnosis by providing for multi-parameter signal collection. This paper presents a new multiple sensor arrangement that includes two vibration acceleration sensing devices, two speed sensing devices and two temperature sensing devices that more effectively facilitates on-line monitoring of bearing condition. Improved performance for fault diagnosis is proved by comparison with traditional methods of signal collection.

Copyright © 2009 by ASME

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