Paper Title:
Fault Prediction and Health Management for Mechanical Equipment Groups Based on the Internet of Things
  Abstract

Safety operation of mechanical equipment groups is of great importance to production and human resources as well as environment. In order to ensure safe operation and improve intelligent level of early fault prediction for key mechanical equipment groups, this paper proposes fault prediction and health management based on the internet of things with structure of three layers to realize comprehensive perception, reliable transmission and intelligent processing of the fault information from the mechanical equipment groups. Two key technologies like condition monitoring and fault prediction are analyzed and application prospects of fault prediction and health management for mechanical equipment groups based on the internet of things are presented in this paper.

  Info
Periodical
Chapter
Chapter 7: Computer Application in Design and Manufacturing (1)
Edited by
Dongye Sun, Wen-Pei Sung and Ran Chen
Pages
3925-3929
DOI
10.4028/www.scientific.net/AMM.121-126.3925
Citation
X. L. Xu, T. Chen, Y. B. Zuo, S. H. Wang, "Fault Prediction and Health Management for Mechanical Equipment Groups Based on the Internet of Things", Applied Mechanics and Materials, Vols. 121-126, pp. 3925-3929, 2012
Online since
October 2011
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$32.00
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