A Novel Approach To Diagnosis Of Analog Circuit Incipient Faults Based On KECA And OAO LSSVM

• Autorzy: Zhang C. , He Y. , Zuo L. , Wang J. , He W.

Identyfikatory

DOI

10.1515/mms-2015-0025

• Języki publikacji: EN

Abstrakty

EN

Correct incipient identification of an analog circuit fault is conducive to the health of the analog circuit, yet very difficult. In this paper, a novel approach to analog circuit incipient fault identification is presented. Time responses are acquired by sampling outputs of the circuits under test, and then the responses are decomposed by the wavelet transform in order to generate energy features. Afterwards, lower-dimensional features are produced through the kernel entropy component analysis as samples for training and testing a one-against-one least squares support vector machine. Simulations of the incipient fault diagnosis for a Sallen-Key band-pass filter and a two-stage four-op-amp bi-quad low-pass filter demonstrate the diagnosing procedure of the proposed approach, and also reveal that the proposed approach has higher diagnosis accuracy than the referenced methods.

Słowa kluczowe

EN

analog circuits; incipient fault diagnosis; wavelet transform; kernel entropy component analysis; least squares support vector machine

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2015
• Tom: Vol. 22, nr 2
• Strony: 251--262
• Opis fizyczny: Bibliogr. 28 poz., rys., tab., wykr., wzory

Twórcy

autor

Zhang C.

• Hefei University of Technology, School of Electrical Engineering and Automation, 230009 Hefei, China
• Anqing Normal University, School of Physics and Electronic Engineering, 246011 Anqing, China

autor

He Y.

• Hefei University of Technology, School of Electrical Engineering and Automation, 230009 Hefei, China

autor

Zuo L.

• Hefei University of Technology, School of Electrical Engineering and Automation, 230009 Hefei, China

autor

Wang J.

• Hefei University of Technology, School of Electrical Engineering and Automation, 230009 Hefei, China

autor

He W.

• Hefei University of Technology, School of Electrical Engineering and Automation, 230009 Hefei, China

Bibliografia

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Uwagi

EN

This work was supported by the National Natural Science Funds of China for Distinguished Young Scholar under Grant No. 50925727, the National Defense Advanced Research Project Grant No. C1120110004, 9140A27020211DZ5102, the Key Grant Project of Chinese Ministry of Education under Grant No. 313018, Anhui Provincial Science and Technology Foundation of China under Grant No. 1301022036, the Fundamental Research Funds for the Central Universities No. 2012HGCX0003, 2014HGCH0012 and National Natural Science Foundation of China No. 61401139, 61403115, 51407054.