Support Vector Machines for fault detection

被引：0
|
作者：
Batur, C [1 ]
Zhou, L [1 ]
Chan, CC [1 ]
机构：
[1] Univ Akron, Dept Engn Mech, Akron, OH 44325 USA
来源：
PROCEEDINGS OF THE 41ST IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4 | 2002年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Support Vector Machines (SVMs), based on Vapnik's statistical learning theory is a new tool that can be used for fault detection and isolation in dynamic systems. This paper presents a new approach that combines the system identification technique and the SVM learning algorithm for fault detection and isolation in dynamic systems. A conventional heat exchanger dynamics is used to illustrate the technique.
引用
收藏
页码：1355 / 1356
页数：2
相关论文
共 50 条
  • [21] ARX model based fault detection and diagnosis for chillers using support vector machines
    Yan, Ke
    Shen, Wen
    Mulumba, Timothy
    Afshari, Afshin
    [J]. ENERGY AND BUILDINGS, 2014, 81 : 287 - 295
  • [22] One-class support vector machines - an application in machine fault detection and classification
    Shin, HJ
    Eom, DH
    Kim, SS
    [J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2005, 48 (02) : 395 - 408
  • [23] Bearing Fault Detection of Induction Motor Using SWPT and DAG Support Vector Machines
    Ben Abid, Firas
    Zgarni, Slaheddine
    Braham, Ahmed
    [J]. PROCEEDINGS OF THE IECON 2016 - 42ND ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2016, : 1476 - 1481
  • [24] Coupling pairwise support vector machines for fault classification
    Pöyhönen, S
    Arkkio, A
    Jover, P
    Hyötyniemi, H
    [J]. CONTROL ENGINEERING PRACTICE, 2005, 13 (06) : 759 - 769
  • [25] Fault diagnosis for AUVs using support vector machines
    Antonelli, G
    Caccavale, F
    Sansone, C
    Villani, L
    [J]. 2004 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1- 5, PROCEEDINGS, 2004, : 4486 - 4491
  • [26] Anomaly detection using support vector machines
    Tian, SF
    Yu, J
    Yin, CH
    [J]. ADVANCES IN NEURAL NETWORKS - ISNN 2004, PT 1, 2004, 3173 : 592 - 597
  • [27] On signal detection using support vector machines
    Burian, A
    Takala, J
    [J]. SCS 2003: INTERNATIONAL SYMPOSIUM ON SIGNALS, CIRCUITS AND SYSTEMS, VOLS 1 AND 2, PROCEEDINGS, 2003, : 609 - 612
  • [28] Support Vector Machines for uncertainty region detection
    Drago, GP
    Muselli, M
    [J]. NEURAL NETS WIRN VIETRI-01, 2002, : 108 - 113
  • [29] Odor detection and recognition with Support Vector Machines
    Distante, C
    Ancona, N
    Siciliano, P
    [J]. ARTIFICIAL CHEMICAL SENSING: OLFACTION AND THE ELECTRONIC NOSE (ISOEN 2001), 2001, 2001 (15): : 144 - 153
  • [30] Face detection based on support vector machines
    Xi, DH
    Lee, SW
    [J]. PATTERN RECOGNITION WITH SUPPORT VECTOR MACHINES, PROCEEDINGS, 2002, 2388 : 370 - 387
12345