NDLI: Analog Circuits Soft Fault Diagnosis Using Rényi’s Entropy

Content Provider	Springer Nature Link
Author	Xie, Xuan Li, Xifeng Bi, Dongjie Zhou, Qizhong Xie, Sanshan Xie, Yongle
Copyright Year	2015
Abstract	An analog circuit soft fault diagnosis method using Rényi’s entropy is proposed. This method focuses on extracting the entropy information contained in the probability density function (PDF) of the output of the circuit under test (CUT), which is sensitive to the parameters of circuits. Firstly, using the Lagrange multiplier method with Rényi’s entropy deduces PDF. Then the parameter α of Rényi’s entropy is estimated adaptively by employing the output of CUT through the maximum likelihood estimation method. Finally, the value of Rényi’s entropy can be calculated using the PDF and α parameter. The divergence between the Rényi’s entropy corresponding to the fault and fault free circuits is adopted to detect the fault. The method can detect soft fautls, including the single fault and multiple faults, without complicated models and mass of data, and also without interrupting the inherent connections. We conduct experiments respectively on two circuits that are implemented on an actual circuit board. The effectiveness of the proposed method is demonstrated by the result of the experiment.
Starting Page	217
Ending Page	224
Page Count	8
File Format	PDF
ISSN	09238174
Journal	Journal of Electronic Testing
Volume Number	31
Issue Number	2
e-ISSN	15730727
Language	English
Publisher	Springer US
Publisher Date	2015-03-29
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Analog circuit Component tolerance Soft fault Rényi’s entropy Lagrange multiplier method Circuits and Systems Electrical Engineering Computer-Aided Engineering (CAD, CAE) and Design
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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