An overview of recent advances in model-based event-triggered fault detection and estimation

被引:29
作者
Zhong, Maiying [1 ]
Zhu, Xiaoqiang [1 ]
Xue, Ting [1 ]
Zhang, Lu [1 ]
机构
[1] Shandong Univ Sci & Technol, Coll Elect Engn & Automation, Qingdao, Peoples R China
基金
中国国家自然科学基金;
关键词
Event-triggered mechanism; fault detection; residual generator; fault estimation; H(8)filtering; H-i/H(8)optimisation approach; TIME-VARYING SYSTEMS; INFINITY OPTIMIZATION APPROACH; NETWORKED CONTROL-SYSTEMS; TOLERANT CONTROL; PARITY SPACE; NONLINEAR-SYSTEMS; STATE ESTIMATION; FUZZY-SYSTEMS; DIAGNOSIS; DESIGN;
D O I
10.1080/00207721.2022.2146990
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Event-triggered fault diagnosis has attracted tremendous research attention in the last decade due to its superiority in improving the utilisation efficiency of communication resources. Different from traditional works of time-driven, event-triggered schemes are used to determine whether the current measurement output should be released to the fault detection filter, while the sensor data not satisfying a predefined triggering condition will be discarded directly. As such, research on event-triggered fault diagnosis has been a challenging issue and many outstanding results have been reported. This paper presents a survey of model-based event-triggered fault detection (FD) and fault estimation (FE) methods mainly based on the techniques of residual generation. First, an overview of recent advances in state estimation-based methods of event-triggered FD is provided, which include the event-triggered FD for dynamic systems subject to Gaussian noises, the H-infinity filtering formulation of event-triggered FD, and the event-triggered H-i/H-infinity optimisation-based FD. Second, the representative results of parity space-based event-triggered FD are reviewed. Third, recent results on event-triggered FE are also reviewed. Finally, several challenging issues on event-triggered fault diagnosis are provided for future research.
引用
收藏
页码:929 / 943
页数:15
相关论文
共 97 条
  • [1] Event-triggered robust fault diagnosis and control of linear Roesser systems: A unified framework?
    Alikhani, Hamid
    Meskin, Nader
    [J]. AUTOMATICA, 2021, 128
  • [2] [Anonymous], 1998, Fault Detection and Diagnosis in Engineering Systems
  • [3] Event-Triggered Fault Detection for Networked Control Systems Subject to Packet Dropout
    Atitallah, M.
    Davoodi, M.
    Meskin, N.
    [J]. ASIAN JOURNAL OF CONTROL, 2018, 20 (06) : 2195 - 2206
  • [4] Plug-and-Play Fault Detection and Isolation for Large-Scale Nonlinear Systems With Stochastic Uncertainties
    Boem, Francesca
    Riverso, Stefano
    Ferrari-Trecate, Giancarlo
    Parisini, Thomas
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2019, 64 (01) : 4 - 19
  • [5] Event-based H∞ fault estimation for networked time-varying systems with randomly occurring nonlinearities and (x, v)-dependent noises
    Chao, Daikun
    Sheng, Li
    Liu, Yang
    Liu, Yurong
    Alsaadi, Fuad E.
    [J]. NEUROCOMPUTING, 2018, 285 : 220 - 229
  • [6] Chen J., 2000, P SAFEPROCESS 2000 B, V31, P256
  • [7] 陈家瑞, 1999, [铁道建筑, Railway Engineering], P19
  • [8] Event-triggered fault detection for T-S fuzzy systems subject to data losses
    Chen, Ziran
    Zhang, Baoyong
    Zhang, Yijun
    Li, Yongmin
    Zhang, Zhengqiang
    [J]. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2020, 51 (07) : 1162 - 1173
  • [9] Integrated event-triggered fault estimation and fault-tolerant control for discrete-time fuzzy systems with input quantization and incomplete measurements
    Chu, Xiaoan
    Li, Muguo
    [J]. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2019, 356 (13): : 7112 - 7143
  • [10] Event-triggered fault estimation and sliding mode fault-tolerant control for a class of nonlinear networked control systems
    Chu, Xiaoan
    Li, Muguo
    [J]. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2018, 355 (13): : 5475 - 5502