A Novel Approach for Diagnosis of Analog Circuit Fault by Using GMKL-SVM and PSO-Reference-Cited by-同舟云学术

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A Novel Approach for Diagnosis of Analog Circuit Fault by Using GMKL-SVM and PSO

Published:2016-09-27 Issue:5 Volume:32 Page:531-540
ISSN:0923-8174
Container-title:Journal of Electronic Testing
language:en
Short-container-title:J Electron Test

Author:

Zhang Chaolong,He Yigang,Yuan Lifen,He Wei,Xiang Sheng,Li Zhigang

Funder

the National Natural Science Funds of China

the State Key Program of National Natural Science Foundation of China

the national key research and development plan "important scientific instruments and equipment development"

Anhui Provincial Science and Technology Foundation of China

Anhui Provincial Natural Science Foundation

Key projects of Anhui province university outstanding youth talent support program

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering

Link

http://link.springer.com/article/10.1007/s10836-016-5616-y/fulltext.html

Reference30 articles.

1. Aminian F, Aminian M (2001) Fault diagnosis of analog circuits using Bayesian neural networks with wavelet transform as preprocessor. J Electron Test 17(1):29–36

2. Aminian F, Aminian M, Collins Jr. HW (2002) Analog fault diagnosis of actual circuits using neural networks. IEEE Trans Instrum Meas 51(3):544–550

3. Aminian M, Aminian F (2007) A modular fault-diagnostic system for analog electronic circuits using neural networks with wavelet transform as a preprocessor. IEEE Trans Instrum Meas 56(5):1546–1554

4. Arizmendi C, Vellido A, Romero E (2012) Classification of human brain tumours from MRS data using Discrete Wavelet Transform and Bayesian Neural Networks. Expert Syst Appl 39(5):5223–5232

5. Chander A, Chatterjee A, Siarry P (2011) A new social and momentum component adaptive PSO algorithm for image segmentation. Expert Syst Appl 38(5):4998–5004

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