吉林大学学报(工学版) ›› 2011, Vol. 41 ›› Issue (03): 697-701.

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Assessment of fault diagnosis complexity about electrical fault diagnosis of equipment based on information entropy

KONG Fan-sen,WU Ya-fu,LI Cong   

  1. College of Mechanical Science and Engineering,Jilin University,Changchun 130022,China
  • Received:2010-03-11 Online:2011-05-01 Published:2011-05-01

Abstract:

The assessment of the fault diagnosis complexity about electrical fault diagnosis of the equipment(EFDE) was studied using the concept of information entropy in the information theory. The theory relating to the complexity assessment by the information entropy was introduced, the comprehensive complexity assessment indexes for the EFDE and their calculation process were given. Taking the fault diagnosis of a certain PLC as an example, a hierarchy structure of the equipment electrical fault judgement system was constructed. An assessment index system was proposed for the EFDE, and the assessment domain of the PLC foult diagnosis complexity was demonstrated. The PLC fault diagnosis complexity was assessed using the information entropy mcthology on the basis of being clearabout the causal chain.

Key words: mechanics, information entropy, electrical fault, fault diagnosis, causal chain

CLC Number: 

  • TH113
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