Analog circuits fault diagnosis using support vector machine

被引：12
|
作者：
Sun, Yongkui [1 ]
Chen, Guangju [1 ]
Li, Hui [1 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Automat Engn, Chengdu 610054, Peoples R China
来源：
2007 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS PROCEEDINGS, VOLS 1 AND 2: VOL 1: COMMUNICATION THEORY AND SYSTEMS; VOL 2: SIGNAL PROCESSING, COMPUTATIONAL INTELLIGENCE, CIRCUITS AND SYSTEMS | 2007年
基金：
中国国家自然科学基金;
关键词：
D O I：
10.1109/ICMLC.2007.4370289
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Support Vector Machine (SVM) is a machine learning algorithm based on statistical theory, which has advantages of simple structure and strong generalization ability as well as classification ability to a few samples. A new method of analog circuit fault diagnosis based SVM is presented in this paper. The method of circuit fault signatures selection is introduced and the model of analog circuit fault based SVM is obtained. The simulation results of a biquadratic filter testified that the proposed approach for analog circuit fault diagnosis is superior to conventional ones and is to increase the fault diagnosis accuracy.
引用
收藏
页码：1003 / +
页数：2
相关论文
共 50 条
  • [1] Analog circuits fault diagnosis based on support vector machine
    Sun Yongkui
    Chen Guangju
    Li Hui
    [J]. ICEMI 2007: PROCEEDINGS OF 2007 8TH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOL III, 2007, : 630 - +
  • [2] Support Vector Machine for fault diagnosis in electrical circuits
    Siwek, Krzysztof
    Osowski, Stanislaw
    Markiewic, Tomasz
    [J]. 2006 7TH NORDIC SIGNAL PROCESSING SYMPOSIUM, 2006, : 342 - +
  • [3] Fault diagnosis using redundant data in analog circuits via slime module algorithm for support vector machine
    Yu D.
    Zhang A.
    Gao Z.
    [J]. Journal of Ambient Intelligence and Humanized Computing, 2023, 14 (10) : 14261 - 14276
  • [4] Soft fault diagnosis of analog circuits based on semi-supervised support vector machine
    L. Wang
    H. Tian
    H. Zhang
    [J]. Analog Integrated Circuits and Signal Processing, 2021, 108 : 305 - 315
  • [5] Soft fault diagnosis of analog circuits based on semi-supervised support vector machine
    Wang, L.
    Tian, H.
    Zhang, H.
    [J]. ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING, 2021, 108 (02) : 305 - 315
  • [6] Fault Diagnosis of Analog Circuits Based on IH-PSO Optimized Support Vector Machine
    Yuan, Xianfeng
    Liu, Ziao
    Miao, Zhaoming
    Zhao, Ziliang
    Zhou, Fengyu
    Song, Yong
    [J]. IEEE ACCESS, 2019, 7 : 137945 - 137958
  • [7] Fault Diagnosis of Support Vector Machine Analog Circuits Based on Improved Particle Swarm Optimization
    Yang, Junping
    Song, Qinghua
    [J]. JOURNAL OF NANOELECTRONICS AND OPTOELECTRONICS, 2023, 18 (06) : 743 - 752
  • [8] Fault Classification Research of Analog Electronic Circuits Based on Support Vector Machine
    Chen, Dongfeng
    [J]. 3RD INTERNATIONAL CONFERENCE ON APPLIED ENGINEERING, 2016, 51 : 1333 - 1338
  • [9] Fault diagnosis of power electronic circuits based on support vector machine
    Liang Yu
    Wang Yigang
    Wang Na
    [J]. PROCEEDINGS OF THE 26TH CHINESE CONTROL CONFERENCE, VOL 5, 2007, : 535 - +
  • [10] Support Vector Machine and Contourlet Transform for Analog Circuit Fault Diagnosis
    Liu Xiaoqin
    Huang Kaoli
    Li Gang
    Lian Guangyao
    [J]. PROCEEDINGS OF THE SECOND INTERNATIONAL SYMPOSIUM ON TEST AUTOMATION & INSTRUMENTATION, VOL. 3, 2008, : 1708 - 1712
12345