Passive robust fault detection using interval observers: Application to the DAMADICS benchmark problem

被引：67
|
作者：
Puig, V
Stancu, A
Escobet, T
Nejjari, F
Quevedo, J
Patton, RJ
机构：
[1] Univ Politecn Cataluna, Dept Automat Control, ESAII, Terrassa 08222, Spain
[2] Univ Hull, Kingston Upon Hull HU6 7RX, N Humberside, England
来源：
CONTROL ENGINEERING PRACTICE | 2006年 / 14卷 / 06期
关键词：
fault detection; robustness in FDI; non-linear models; observers; interval models;
D O I：
10.1016/j.conengprac.2005.03.016
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
in this paper, the "passive approach" to robust fault detection and isolation (FDI) is presented in the context of observer methodology, when a model with parameters bounded in intervals ("interval model") is used, deriving the interval version corresponding to the classical use of observers. The passive approach is based on allowing the effect of the uncertainties to propagate into the residuals and then the principle of adaptive thresholds is used to achieve robustness. Finally, the approach proposed is applied to detect some of the faults proposed in an industrial actuator used as an FDI benchmark in the European RTN DAMADICS. (c) 2005 Elsevier Ltd. All rights reserved.
引用
收藏
页码：621 / 633
页数：13
相关论文
共 50 条
  • [1] A Signal Processing Approach for Fault Detection Problem: Application to the DAMADICS Actuator Benchmark Problem
    de Almeida, Gustavo M.
    Reis, Marco S.
    Park, Song W.
    [J]. 22 EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, 2012, 30 : 857 - 861
  • [2] VisualBlock-FIR for fault detection and identification: Application to the DAMADICS benchmark problem
    Escobet, Antoni
    Nebot, Angela
    Cellier, Francois E.
    [J]. MICAI 2007: ADVANCES IN ARTIFICIAL INTELLIGENCE, 2007, 4827 : 1173 - +
  • [3] Application of a novel fuzzy classifier to fault detection and isolation of the DAMADICS benchmark problem
    Bocaniala, CD
    da Costa, JS
    [J]. CONTROL ENGINEERING PRACTICE, 2006, 14 (06) : 653 - 669
  • [4] A GMDH neural network-based approach to robust fault diagnosis: Application to the DAMADICS benchmark problem
    Witczak, M
    Korbicz, J
    Mrugalski, M
    Patton, RJ
    [J]. CONTROL ENGINEERING PRACTICE, 2006, 14 (06) : 671 - 683
  • [5] Actuator fault distinguishability study for the DAMADICS benchmark problem
    Koscielny, JM
    Bartys, M
    Rzepiejewskia, P
    da Costa, JS
    [J]. CONTROL ENGINEERING PRACTICE, 2006, 14 (06) : 645 - 652
  • [6] Robust Fault Detection and Isolation of Wind Turbines using Interval Observers
    Blesa, Joaquim
    Nejjari, Fatiha
    Rotondo, Damiano
    Puig, Vicenc
    [J]. 2013 2ND INTERNATIONAL CONFERENCE ON CONTROL AND FAULT-TOLERANT SYSTEMS (SYSTOL), 2013, : 353 - 358
  • [7] Robust Fault Detection for LPV Systems using Interval Observers and Zonotopes
    Nejjari, Fatiha
    Puig, Vicenc
    Montes de Oca, Saul
    Sadeghzadeh, Atefeh
    [J]. PROCEEDINGS OF THE 48TH IEEE CONFERENCE ON DECISION AND CONTROL, 2009 HELD JOINTLY WITH THE 2009 28TH CHINESE CONTROL CONFERENCE (CDC/CCC 2009), 2009, : 1002 - 1007
  • [8] Actuator Fault Detection Using Adaptive Neuro Fuzzy Approach for Damadics Benchmark
    Gomathi, V.
    Elakkiya, V.
    Valarmathi, R.
    Ramkumar, K.
    [J]. RESEARCH JOURNAL OF PHARMACEUTICAL BIOLOGICAL AND CHEMICAL SCIENCES, 2016, 7 (01): : 628 - 635
  • [9] Model-free actuator fault detection using a spectral estimation approach: the case of the DAMADICS benchmark problem
    Previdi, F
    Parisini, T
    [J]. CONTROL ENGINEERING PRACTICE, 2006, 14 (06) : 635 - 644
  • [10] Robust Fault Detection for Switched Systems based on Interval Observers
    Zammah, Chaima
    Van Gorp, Jeremy
    Raissi, Tarek
    [J]. 2020 28TH MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION (MED), 2020, : 568 - 573
12345