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Fault Diagnosis for Analog Circuits by Using EEMD, Relative Entropy, and ELM
Joint Authors
Yang, Chenglin
Xiong, Jian
Tian, Shulin
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2016, Issue 2016 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-09-08
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
This paper presents a novel fault diagnosis method for analog circuits using ensemble empirical mode decomposition (EEMD), relative entropy, and extreme learning machine (ELM).
First, nominal and faulty response waveforms of a circuit are measured, respectively, and then are decomposed into intrinsic mode functions (IMFs) with the EEMD method.
Second, through comparing the nominal IMFs with the faulty IMFs, kurtosis and relative entropy are calculated for each IMF.
Next, a feature vector is obtained for each faulty circuit.
Finally, an ELM classifier is trained with these feature vectors for fault diagnosis.
Via validating with two benchmark circuits, results show that the proposed method is applicable for analog fault diagnosis with acceptable levels of accuracy and time cost.
American Psychological Association (APA)
Xiong, Jian& Tian, Shulin& Yang, Chenglin. 2016. Fault Diagnosis for Analog Circuits by Using EEMD, Relative Entropy, and ELM. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1099758
Modern Language Association (MLA)
Xiong, Jian…[et al.]. Fault Diagnosis for Analog Circuits by Using EEMD, Relative Entropy, and ELM. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1099758
American Medical Association (AMA)
Xiong, Jian& Tian, Shulin& Yang, Chenglin. Fault Diagnosis for Analog Circuits by Using EEMD, Relative Entropy, and ELM. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1099758
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099758