HUANG Liang, HOU Jianjun, LIU Ying, GUO Yong. Grey Entropy Relation Algorithm of Choosing the Optimum Diagnostic Nodes in Analogue Circuits[J]. Chinese Journal of Electronics, 2013, 22(3): 615-620.
Citation: HUANG Liang, HOU Jianjun, LIU Ying, GUO Yong. Grey Entropy Relation Algorithm of Choosing the Optimum Diagnostic Nodes in Analogue Circuits[J]. Chinese Journal of Electronics, 2013, 22(3): 615-620.

Grey Entropy Relation Algorithm of Choosing the Optimum Diagnostic Nodes in Analogue Circuits

Funds:  This work is supported by the National Natural Science Foundation of China (No.61172130) and the Fundamental Research Funds for the Central Universities (No.2013JBM016, No.2012JBM022).
  • Received Date: 2012-09-01
  • Rev Recd Date: 2013-01-01
  • Publish Date: 2013-06-15
  • Choosing the optimum diagnostic nodes is helpful to increase the accuracy and the efficiency of circuits fault diagnosis. Grey entropy relation algorithm is proposed to choose the optimum diagnostic nodes of analogue circuits in this paper. Analogue circuits are regarded as grey system. Grey relation analysis and grey entropy analysis are combined to grey entropy relation algorithm. Grey entropy relation algorithm is used to quantify the relationship between the diagnostic nodes and fault components. The relevance between the diagnostic nodes and fault components can be evaluated by grey entropy relation degrees. According to the rank order of grey entropy relation degrees, the optimum diagnostic nodes of analogue circuits can be selected objectively and accurately. An example of fault diagnosis is presented to verify the validity of the optimum diagnostic nodes.
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