A novel approach for analog circuit fault diagnosis based on Deep Belief Network-Reference-Cited by-同舟云学术

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A novel approach for analog circuit fault diagnosis based on Deep Belief Network

Published:2018-06 Issue: Volume:121 Page:170-178
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Zhao Guangquan^ORCID,Liu Xiaoyong,Zhang Bin^ORCID,Liu Yuefeng,Niu Guangxing,Hu Cong

Funder

China Scholarship Fund

China Guangxi Key Laboratory of Automatic Detecting Technology and Instruments

University of South Carolina

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference30 articles.

1. A novel method for the diagnosis of the incipient faults in analog circuits based on LDA and HMM;Xu;Circ. Syst. Signal Process.,2010

2. Improved diagnostics for the incipient faults in analog circuits using LSSVM based on PSO algorithm with Mahalanobis distance;Long;Neurocomputing,2014

3. Analog fault diagnosis of actual circuits using neural networks;Aminian;IEEE Trans. Instrum. Meas.,2002

4. A novel approach of analog circuit fault diagnosis using support vector machines classifier;Cui;Measurement,2011

5. Diagnosis of incipient faults in weak nonlinear analog circuits;Shi;Circ. Syst. Signal Process.,2013

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