Model-based fault diagnosis methods for systems with stochastic process – A survey

被引：1
|
作者：
Zhao, Zhen [1 ]
Liu, Peter Xiaoping [1 ,3 ]
Gao, Jinfeng [2 ]
机构：
[1] School of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou,310018, China
[2] School of Information Science and Engineering, Zhejiang Sci-Tech University, Hangzhou,310018, China
[3] Department of Systems and Computer Engineering, Carleton University, Ottawa,ON,K1S 5B6, Canada
来源：
Neurocomputing | 2022年 / 513卷
基金：
中国国家自然科学基金;
关键词：
Failure analysis - Fault detection - Stochastic models - Stochastic systems;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Model-based methods are widely used for the fault diagnosis of stochastic dynamic systems by simply using the input–output relationship of the system. Despite encouraging results and progress over past decades, developing a reliable and effective diagnostic method for systems with stochastic processes remains a significant challenge. In this paper, a comprehensive review on this topic is performed. Representative main approaches and results are analyzed and compared, and applications in some specific industrial processes are briefly reviewed. The perspectives on current challenges and potential opportunities of future work are discussed, hoping to shed some light on this active topic. © 2022 Elsevier B.V.
引用
收藏
页码：137 / 152
相关论文
共 50 条
  • [31] Model-based fault diagnosis for hybrid systems: Application on chemical processes
    Olivier-Maget, Nelly
    Hetreux, Gilles
    Le Lann, Jean Marc
    Le Lann, Marie Veronique
    COMPUTERS & CHEMICAL ENGINEERING, 2009, 33 (10) : 1617 - 1630
  • [32] A case study on the use of model-based systems for electronic fault diagnosis
    Cunningham, P
    ARTIFICIAL INTELLIGENCE IN ENGINEERING, 1998, 12 (03): : 283 - 295
  • [33] Demonstrating Assurance of Model-Based Fault Diagnosis Systems on an Operational Mission
    Nikora, Allen
    Aleem, Mishaal
    Mackey, Ryan
    Fesq, Lorraine
    Chung, Seung
    Kolcio, Ksenia
    Prather, Maurice
    Litke, Matthew
    2020 IEEE AEROSPACE CONFERENCE (AEROCONF 2020), 2020,
  • [34] Fault Diagnosis of Pneumatic Systems: Application of a Systematic Model-Based Methodology
    Rahman, Brian M.
    Busch, Greg T.
    Ahmed, Qadeer
    Rizzoni, Giorgio
    IFAC PAPERSONLINE, 2017, 50 (01): : 3294 - 3300
  • [35] Model-based Fault Diagnosis and Prediction for a Class of Distributed Parameter Systems
    Cai, Jia
    Ferdowsi, Hasan
    Jagannathan, S.
    2014 IEEE 53RD ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2014, : 5758 - 5763
  • [36] Assuring Correctness, Completeness, and Performance for Model-Based Fault Diagnosis Systems
    Nikora, Allen
    Srivastava, Priyanka
    Fesq, Lorraine
    Chung, Seung
    Kolcio, Ksenia
    Prather, Maurice
    2019 IEEE AEROSPACE CONFERENCE, 2019,
  • [37] Model-Based Fault Diagnosis and Prognosis for Electric Power Steering Systems
    Lin, Wen-Chiao
    Ghoneim, Youssef A.
    2016 IEEE INTERNATIONAL CONFERENCE ON PROGNOSTICS AND HEALTH MANAGEMENT (ICPHM), 2016,
  • [38] Analytical and Qualitative Model-based Fault Diagnosis - A Survey and Some New Results
    Frank, P. M.
    EUROPEAN JOURNAL OF CONTROL, 1996, 2 (01) : 6 - 28
  • [39] Embedded model-based fault diagnosis for on-board diagnosis of engine control systems
    Weinhold, N
    Ding, SX
    Jeinsch, T
    Schultalbers, M
    2005 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS (CCA), VOLS 1AND 2, 2005, : 1206 - 1211
  • [40] Non-linear Model-based Stochastic Fault Diagnosis of 2 DoF Helicopter
    Raghappriya, M.
    Kanthalakshmi, S.
    CONTROL ENGINEERING AND APPLIED INFORMATICS, 2020, 22 (03): : 62 - 73
12345