Fault diagnosis of analog circuits based on wavelet packets

Y. He; Y. Tan; Y. Sun

doi:10.1109/TENCON.2004.1414408

Fault diagnosis of analog circuits based on wavelet packets

Y. He
, Y. Tan
, Y. Sun

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

21 Citations (Scopus)

70 Downloads (Pure)

Abstract

A fault diagnosis method for analog circuits based on wavelet packets is developed in this paper. The sampled signals from the test nodes are decomposed by wavelet packets and the feature vectors extracted are applied to neural networks for identifying the faults. The proposed method is characterized by minimizing the ambiguity groups as well as simplifying neural network architecture, reducing training cost and maximizing the diagnosability. Simulation results of diagnosing a four-op-amp filter circuit have confirmed the validity of the propose technique.

Original language	English
Title of host publication	Procs of the 2004 IEEE Region 10 Conference, TENCON
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	267-270
ISBN (Print)	0-7803-8560-8
DOIs	https://doi.org/10.1109/TENCON.2004.1414408
Publication status	Published - 2004

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10.1109/TENCON.2004.1414408

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title = "Fault diagnosis of analog circuits based on wavelet packets",

abstract = "A fault diagnosis method for analog circuits based on wavelet packets is developed in this paper. The sampled signals from the test nodes are decomposed by wavelet packets and the feature vectors extracted are applied to neural networks for identifying the faults. The proposed method is characterized by minimizing the ambiguity groups as well as simplifying neural network architecture, reducing training cost and maximizing the diagnosability. Simulation results of diagnosing a four-op-amp filter circuit have confirmed the validity of the propose technique.",

author = "Y. He and Y. Tan and Y. Sun",

note = "“This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.{"} “Copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.”",

year = "2004",

doi = "10.1109/TENCON.2004.1414408",

language = "English",

isbn = "0-7803-8560-8",

pages = "267--270",

booktitle = "Procs of the 2004 IEEE Region 10 Conference, TENCON",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

}

TY - GEN

T1 - Fault diagnosis of analog circuits based on wavelet packets

AU - He, Y.

AU - Tan, Y.

AU - Sun, Y.

N1 - “This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder." “Copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.”

PY - 2004

Y1 - 2004

N2 - A fault diagnosis method for analog circuits based on wavelet packets is developed in this paper. The sampled signals from the test nodes are decomposed by wavelet packets and the feature vectors extracted are applied to neural networks for identifying the faults. The proposed method is characterized by minimizing the ambiguity groups as well as simplifying neural network architecture, reducing training cost and maximizing the diagnosability. Simulation results of diagnosing a four-op-amp filter circuit have confirmed the validity of the propose technique.

AB - A fault diagnosis method for analog circuits based on wavelet packets is developed in this paper. The sampled signals from the test nodes are decomposed by wavelet packets and the feature vectors extracted are applied to neural networks for identifying the faults. The proposed method is characterized by minimizing the ambiguity groups as well as simplifying neural network architecture, reducing training cost and maximizing the diagnosability. Simulation results of diagnosing a four-op-amp filter circuit have confirmed the validity of the propose technique.

U2 - 10.1109/TENCON.2004.1414408

DO - 10.1109/TENCON.2004.1414408

M3 - Conference contribution

SN - 0-7803-8560-8

SP - 267

EP - 270

BT - Procs of the 2004 IEEE Region 10 Conference, TENCON

PB - Institute of Electrical and Electronics Engineers (IEEE)

ER -

Fault diagnosis of analog circuits based on wavelet packets

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