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Wavelet-Based Feature Extraction in Fault Diagnosis for Biquad High-Pass Filter Circuit
Joint Authors
Wang, Yuehai
Yan, Yongzheng
Wang, Qinyong
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-09-29
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Fault diagnosis for analog circuit has become a prominent factor in improving the reliability of integrated circuit due to its irreplaceability in modern integrated circuits.
In fact fault diagnosis based on intelligent algorithms has become a popular research topic as efficient feature extraction and selection are a critical and intricate task in analog fault diagnosis.
Further, it is extremely important to propose some general guidelines for the optimal feature extraction and selection.
In this paper, based on wavelet analysis, we will study the problems of mother wavelets selection, number of decomposition levels, and candidate coefficients selection by using a four-op-amp biquad filter circuit.
After conducting several comparative experiments, some general guidelines for feature extraction for this type of analog circuits fault diagnosis are derived.
American Psychological Association (APA)
Wang, Yuehai& Yan, Yongzheng& Wang, Qinyong. 2016. Wavelet-Based Feature Extraction in Fault Diagnosis for Biquad High-Pass Filter Circuit. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1112344
Modern Language Association (MLA)
Wang, Yuehai…[et al.]. Wavelet-Based Feature Extraction in Fault Diagnosis for Biquad High-Pass Filter Circuit. Mathematical Problems in Engineering No. 2016 (2016), pp.1-13.
https://search.emarefa.net/detail/BIM-1112344
American Medical Association (AMA)
Wang, Yuehai& Yan, Yongzheng& Wang, Qinyong. Wavelet-Based Feature Extraction in Fault Diagnosis for Biquad High-Pass Filter Circuit. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1112344
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112344