Model-based fault monitoring of a plastic film extrusion process

被引:3
|
作者
Hur, S. -H. [1 ]
Katebi, R. [1 ]
Taylor, A. [2 ]
机构
[1] Univ Strathclyde, Dept Elect & Elect Engn, Ind Control Ctr, Glasgow G1 1XW, Lanark, Scotland
[2] DuPont Teijin Films UK Ltd, Dumfries DG2 8YA, Scotland
来源
IET CONTROL THEORY AND APPLICATIONS | 2011年 / 5卷 / 18期
基金
英国工程与自然科学研究理事会;
关键词
DIAGNOSIS; SYSTEMS;
D O I
10.1049/iet-cta.2010.0557
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This study reports the modelling of a plastic film extrusion process and the development and implementation of a model-based fault monitoring system. The model is mainly derived from the first-principles of chemical and mechanical engineering in addition to empirical knowledge related to the behaviour of polymer and designed to provide a safe offline platform for developing monitoring and control systems. The fault monitoring system constructs a residual via parity relations, and a multi-objective optimisation problem must therefore be solved in order that the residual can be sensitive to faults but insensitive to disturbances and modelling errors. In this study, a genetic algorithm is exploited for solving this multi-objective optimisation problem, and the resulting fault monitoring system is applied to the model. Simulation results demonstrate that various types of faults can be detected and diagnosed successfully.
引用
收藏
页码:2075 / 2088
页数:14
相关论文
共 50 条
  • [41] Immune model-based fault diagnosis
    Luh, GC
    Cheng, WC
    MATHEMATICS AND COMPUTERS IN SIMULATION, 2005, 67 (06) : 515 - 539
  • [42] A model-based fault accommodation system
    Huang, YJ
    Reklaitis, GV
    Venkatasubramanian, V
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2002, 41 (16) : 3806 - 3821
  • [43] MODEL-BASED FAULT DIAGNOSIS FOR NIMH
    Suozzo, Chris
    Onori, Simona
    Rizzoni, Giorgio
    PROCEEDINGS OF THE ASME DYNAMIC SYSTEMS AND CONTROL CONFERENCE 2008, PTS A AND B, 2009, : 1349 - 1355
  • [44] Assurance of Model-Based Fault Diagnosis
    Nikora, Allen
    Srivastava, Priyanka
    Fesq, Lorraine
    Chung, Seung
    Kolcio, Ksenia
    2018 IEEE AEROSPACE CONFERENCE, 2018,
  • [45] Immune Model-based Fault Diagnosis
    Wang Chu-Jiao
    Xia Shi-Xiong
    2008 INTERNATIONAL CONFERENCE ON MULTIMEDIA AND INFORMATION TECHNOLOGY, PROCEEDINGS, 2008, : 685 - 688
  • [46] Model-based intermittent fault detection
    Sedighi, Tabassom
    Phillips, Paul
    Foote, Peter D.
    2ND INTERNATIONAL THROUGH-LIFE ENGINEERING SERVICES CONFERENCE, 2013, 11 : 68 - 73
  • [47] Bridging data-driven and model-based approaches for process fault diagnosis and health monitoring: A review of researches and future challenges
    Tidriri, Khaoula
    Chatti, Nizar
    Verron, Sylvain
    Tiplica, Teodor
    ANNUAL REVIEWS IN CONTROL, 2016, 42 : 63 - 81
  • [48] Model-Based Real-Time Fault Monitoring Strategy for Hydraulic Servo Actuators
    Yan, Zhiming
    Fu, Jian
    Ge, Zehua
    2023 ASIA-PACIFIC INTERNATIONAL SYMPOSIUM ON AEROSPACE TECHNOLOGY, VOL II, APISAT 2023, 2024, 1051 : 1117 - 1126
  • [49] Model-based process redesign
    Janusz, B
    JOURNAL OF INTELLIGENT MANUFACTURING, 1997, 8 (05) : 345 - 356
  • [50] SQFDiag:: Semiquantitative model-based fault monitoring and diagnosis via episodic fuzzy rules
    Özyurt, IB
    Hall, LO
    Sunol, AK
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 1999, 29 (03): : 294 - 306