Review on fault diagnosis techniques for closed-loop systems

Zidonghua Xuebao/Acta Automatica Sinica

Volumn 39, Issue 11, 2013, Pages 1933-1943

  Zhou, Dong Hua ^a,b   Liu, Yang ^a,b   He, Xiao ^a,b  

^a TSINGHUA UNIVERSITY   (China)

^b TSINGHUA NATIONAL LABORATORY FOR INFORMATION SCIENCE AND TECHNOLOGY   (China)

Author keywords

Closed loop systems; Fault detection; Fault diagnosis; Fault isolation; Feedback control

Indexed keywords

DIAGNOSIS PERFORMANCE; FAULT DIAGNOSIS METHOD; FAULT DIAGNOSIS PROBLEM; FAULT DIAGNOSIS TECHNIQUE; FAULT ISOLATION; OPEN LOOP SYSTEMS; SIMULATION EXAMPLE;

CLOSED LOOP SYSTEMS; ELECTRIC FAULT CURRENTS; FAILURE ANALYSIS; FEEDBACK CONTROL;

FAULT DETECTION;

EID: 84889003234     PISSN: 02544156     EISSN: None     Source Type: Journal    
DOI: 10.3724/SP.J.1004.2013.01933     Document Type: Review

References (72)

1. Mehra R K, Reschon J. An innovation approach to fault detection and diagnosis in dynamics. Automatica, 1971, 7(5): 637-640
2. Willsky A S. A survey of design methods for failure detection in dynamic systems. Automatica, 1976, 12(6): 601-611
3. Himmelblau D M. Fault Detection and Diagnosis in Chemical and Petrochemical Process. Amsterdam: Elsevier Press, 1978
4. Frank P M. Fault diagnosis in dynamic-systems using analytical and knowledge-based redundancy: a survey and some new results. Automatica, 1990, 26(3): 459-474
5. Zhou Dong-Hua, Wang Qing-Lin. The latest development of model based fault diagnostics technique of control systems. Acta Automatica Sinica. 1995, 21(2): 244-248
6. Frank P M, Ding S X. Survey of robust residual generation and evaluation methods in observer-based fault detection systems. Journal of Process Control, 1997, 7(6): 403-424
7. Patton R J, Frank P M, Clark R N. Issues of Fault Diagnosis for Dynamic Systems. London: Springer-Verlag, 2000
8. Zhou Dong-Hua, Ye Yin-Zhong. Fault Diagnosis and Fault-Tolerant Control. Beijing: Tsinghua University Press, 2000
9. Venkatasubramanian V, Rengaswamy R, Yin K, Kavuri S N. A review of process fault detection and diagnosis part I: quantitative model-based methods. Computer and Chemical Engineering, 2003, 27(3): 293-311
10. Venkatasubramanian V, Rengaswamy R, Kavuri S N. A review of process fault detection and diagnosis part II: qualitative models and search strategies. Computer and Chemical Engineering, 2003, 27(3): 313-326
11. Venkatasubramanian V, Rengaswamy R, Kavuri S N, Yin K. A review of process fault detection and diagnosis part III: process history based methods. Computer and Chemical Engineering, 2003, 27(3): 327-346
12. Zhou Dong-Hua, Hu Yan-Yan. Fault diagnosis techniques for dynamic systems. Acta Automatica Sinica. 2009, 35(6): 748-758
13. Xing Yan, Wu Hong-Xin, Wang Xiao-Lei, Li Zhi-Bin. Survey of fault diagnosis and fault-tolerance control technology for spacecraft. Journal of Astronautics, 2003, 24(3): 221-226
14. Bellini A, Filippetti F, Franceschini G, Tassoni C. Closed-loop control impact on the diagnosis of induction motors faults. IEEE Transactions on Industry Applications, 2000, 36(5): 1318-1329
15. Jiang Cang-Hua, Zhou Dong-Hua. Performance comparison studies of observer based fault detection methods for linear systems. Computing Technology and Automation, 2005, 22(2): 58-62
16. Ge W, Fang C Z. Detection of faulty components via robust observation. International Journal of Control, 1988, 47(2): 581-599
17. McNabb C A, Qin S J. Fault diagnosis in the feedback-invariant subspace of closed-loop systems. Industrial and Engineering Chemistry Research, 2005, 44(8): 2359-2368
18. Niemann H H, Stoustrupt J. Robust fault detection in open loop vs. closed loop. In: Proceedings of the 36th IEEE Conference on Decision and Control. San Diego, California, USA: IEEE, 1997. 4496-4497
19. Ashari A E, Nikoukhahb R, Campbell S L. Effects of feed-back on active fault detection. Automatica, 2012, 48(5): 866-872
20. Deshpande A P, Patwardhan S C, Narasimhan S S. Intelligent state estimation for fault tolerant nonlinear predictive control. Journal of Process Control, 2009, 19(2): 187-204
21. Georges J P, Theilliol D, Ponsart J C, Aubrun C. Networked control system with intermittent observations: FDI/FTC design based on interacting multiple model approach. In: Proceedings of the 17th Mediterranean Conference on Control and Automation. Makedonia Palace, Thessaloniki, Greece: IEEE, 2009. 528-533
22. Seron M M, Doná J A D. Actuator fault tolerant multi-controller scheme using set separation based diagnosis. International Journal of Control, 2010, 83(11): 2328-2339
23. Li X J, Yang G H. Adaptive fault detection and isolation approach for actuator stuck faults in closed-loop systems. International Journal of Control, Automation, and Systems, 2012, 10(4): 830-834
24. Tornil-Sin S, Theilliol D, Ponsart J C, Puig V. Admissible model matching using DR-regions: fault accommodation and robustness against FDD inaccuracies. International Journal of Adaptive Control and Signal Process, 2010, 24(11): 927-943
25. Rahim M A, Khalid H M, Akram M, Khoukhi A, Cheded L, Doraiswami R. Quality monitoring of a closed-loop system with parametric uncertainties and external disturbances: a fault detection and isolation approach. International Journal of Advanced Manufacturing Technology, 2011, 55(1-4): 293-306
26. Šimandl M, Punčochář I. Active fault detection and control: unified formulation and optimal design. Automatica, 2009, 45(9): 2052-2059
27. Niemann H. A setup for active fault diagnosis. IEEE Transactions on Automatic Control, 2006, 51(9): 1572-1578
28. Wei J, Cen Z, Jian R. Sensor fault-tolerant observer applied in satellite attitude control. Journal of Systems Engineering and Electronics, 2012, 23(1): 99-107
29. Li R, Olson J H. Fault detection and diagnosis in a closed-loop nonlinear distillation process: application of extended Kalman filters. Industrial and Engineering Chemistry Research, 1991, 30(5): 898-908
30. Doraiswami R, Cheded L. Kalman filter for parametric fault detection: an internal model principle-based approach. IET Control Theory and Applications, 2012, 6(5): 715-725
31. Dong J, Verhaegen M. Identification of fault estimation filter from I/O data for systems with stable inversion. IEEE Transactions on Automatic Control, 2012, 57(6): 1347-1361
32. Wu N E, Zhang Y, Zhou K. Detection, estimation, and accommodation of loss of control effectiveness. International Journal of Adaptive Control and Signal Process, 2000, 14(7): 775-795
33. Chen X, Ma Y, Wang F, Geng Y. Research on improved integrated FDD/FTC with effectiveness factors. Journal of Systems Engineering and Electronics, 2012, 23(5): 768-774
34. Zhou D H, Frank P M. Actuator fault diagnosis of a class of nonlinear systems in closed-loops: a case study. In: Proceedings of the 1996 International Conference on Control. Exeter, UK: UKACC, 1996. 311-316
35. Zhou D H, Frank P M. Fault diagnostics and fault tolerant control. IEEE Transactions on Aerospace and Electronic Systems, 1998, 34(2): 420-427
36. Zhong Mai-Ying, Zhang Cheng-Hui, Ding S X. An optimization approach to feedback controller and robust fault detection filter integrated design, Acta Automatica Sinica, 2004, 30(2): 294-299
37. Giridha A, El-Farra N H. A unified framework for detection, isolation and compensation of actuator faults in uncertain particulate processes. In: Proceedings of the 2008 American Control Conference. Westin Seattle Hotel, Seattle, Washington, USA: IEEE, 2008. 3313-3318
38. Ghantasala S, El-Farra N H. Actuator fault detection and reconfiguration in distributed processes with measurement sampling constraints. In: Proceedings of the 2009 American Control Conference. Hyatt Regency Riverfront, St. Louis, MO, USA: IEEE, 2009. 1523-1529
39. Ghantasala S, El-Farra N H. Robust actuator fault isolation and management in constrained uncertain parabolic PDE systems. Automatica, 2009, 45(10): 2368-2373
40. Yoo S J. Actuator fault detection and adaptive accommodation control of flexible-joint robots. IET Control Theory and Applications, 2012, 6(10): 1497-1507
41. Zhang K, Jiang B, Cocquempot V. Fast adaptive fault estimation and accommodation for nonlinear time-varying delay systems. Asian Journal of Control, 2009, 11(6): 643-652
42. Jiang B, Zhang K, Shi P. Less conservative criteria for fault accommodation of time-varying delay systems using adaptive fault diagnosis observer. International Journal of Adaptive Control and Signal Processing, 2010, 24(4):322-334
43. Corradini M L, Cristofaro A, Giambó R, Pettinari S. Design of robust fault detection filters for MIMO uncertain plants with quantised information. International Journal of Control, 2012, 85(3): 239-250
44. Hägglund T. A control-loop performance monitor. Control Engineering Practice. 1995, 3(11): 1543-1551
45. Márton L, Ossmann D. Energetic approach for control surface disconnection fault detection in hydraulic aircraft actuators. In: Proceedings of the 2012 IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, Mexico City, Mexico: IFAC, 2012. 1149-1154
46. Chang Y J, Lee C L, Chen J E, Su C. A behavior-level fault model for the closed-loop operational amplifier. Journal of Information Science and Engineering, 2000, 16(5): 751-766
47. Alavi S M M, Izadi-Zamanabadi R, Hayes M J. Robust fault detection and isolation technique for single-input/single-output closed-loop control systems that exhibit actuator and sensor faults. IET Control Theory and Applications, 2008, 2(11): 951-965
48. Faiz J, Ojaghi M. Instantaneous-power harmonics as indexes for mixed eccentricity fault in mains-fed and open/closed-loop drive-connected squirrel-cage induction motors. IEEE Transactions on Industrial Electronics, 2009, 56(11): 4718-4726
49. Cheng S, Zhang P, Habetler T G. An impedance identification approach to sensitive detection and location of stator turn-to-turn faults in a closed-loop multiple-motor drive. IEEE Transactions on Industrial Electronics, 2011, 58(5): 1545-1554
50. Maurya M R, Paritosh P K, Rengaswamy R, Venkatasubramanian V. A framework for on-line trend extraction and fault diagnosis. Engineering Applications of Artificial Intelligence, 2010, 23(6): 950-960
51. Goharrizi A Y, Sepehri N. Internal leakage detection in hydraulic actuators using empirical mode decomposition and Hilbert spectrum. IEEE Transactions on Instruments and Measurement, 2012, 61(2): 368-378
52. Unver H O, Wendel G. A fuzzy quality control-decision support system for improving operational reliability of liquid transfer operations in laboratory automation. Expert Systems with Applications, 2009, 36(4): 8064-8070
53. Du Xin-Wei, Liu Di-Chen, Li Yuan, Xiong Yuan-Xin, Wang Xiao-Jun. Application of adaptive neuro-fuzzy inference system in power system fault recurrence. Power System Technology, 2006, 30(6): 82-87
54. Ballé P, Fuessel D. Closed-loop fault diagnosis based on a nonlinear process model and automatic fuzzy rule generation. Engineering Applications of Artificial Intelligence, 2000, 13(6): 695-704
55. ∞ loop-shaping controller. Journal of Process Control, 2012, 22(3): 626-634
56. Aubrun C, Robert M, Cecchin T. Fault detection in a control loop. Control Engineering Practice, 1995, 3(10): 1441-1446
57. Zhang Y, Wang F, Hesketh T, Clements D J, Eaton R. Fault accommodation for nonlinear systems using fuzzy adaptive sliding control. International Journal of Systems Science, 2005, 36(4): 215-220
58. Zhang Ying-Wei, Wang Xiao-Gang, Wang Fu-Li. Fault accommodation for nonlinear systems using fuzzy adaptive sliding control. Control and Decision, 2005, 20(4): 408-412
59. Huo B, Tong S, Li Y. Observer-based adaptive fuzzy fault-tolerant output feedback control of uncertain nonlinear systems with actuator faults. International Journal of Control, Automation, and Systems, 2012, 10(6): 1119-1128
60. Liu Chun-Sheng, Ai Qiang-Yu. Fault detection based on T-S fuzzy model for networked control systems. Control Engineering of China, 2009, 16(6): 775-779
61. ∞ filter design for T-S fuzzy model-based networked control systems with random sensor failure. International Journal of Robust and Nonlinear Control, 2013, 23(1): 15-32
62. Tallam R M, Habetler T G, Harley R G. Stator winding turn-fault detection for closed-loop induction motor drives. IEEE Transactions on Industry Applications, 2003, 39(3): 720-724
63. Zhang Ying-Wei, Wang Fu-Li, Yu Ge. Fault accomodation for a class of nonlinear systems using a learning approach. Acta Automatica Sinica, 2004, 30(5): 758-762
64. Thumati B T, Jagannathan S. A model based fault detection and accommodation scheme for nonlinear discrete-time systems with asymptotic stability guarantee. In: Proceedings of the 2009 American Control Conference. Hyatt Regency Riverfront, St. Louis, MO, USA: IEEE, 2009. 4988-4993
65. Zhang Y, Qin S J. Adaptive actuator fault compensation for linear systems with matching and unmatching uncertainties. Journal of Process Control, 2009, 19(6): 985-990
66. Hu Liang-Mou, Cao Ke-Qiang, Xu Hao-Jun, Dong Xin-Min. Research on fault diagnosis for closed-loop control system based on weighted LS-SVM. Machine Tool and Hydraulics, 2010, 38(9): 128-131
67. Hu Liang-Mou, Cao Ke-Qiang, Xu Hao-Jun. Multi-fault diagnosis for electro hydraulic position servo system based on LS-SVM. Journal of System Simulation, 2007, 19(10): 2252-2255
68. Bo Cui-Mei, Li Jun, Zhang Guang-Ming, Yang Hai-Rong. Application of fault detection based on adaptive threshold in the DAMDICS benchmark problem. Computer Integrated Manufacturing Systems, 2010, 16(6): 1279-1285
69. Zhang K, Jiang B, Shi P. Observer-based integrated robust fault estimation and accommodation design for discrete-time systems. International Journal of Control, 2010, 83(6): 1167-1181
70. The Authoritative Dictionary. IEEE Standard 100, 2000
71. Correcher A, Garcia E, Morant F, Quiles E, Rodriguez L. Intermittent failure dynamics characterization. IEEE Transactions on Reliability, 2012, 61(3): 649-658
72. Liu J X, Zhang X. Detection method of intermittent faults in electronic systems based on Markov model. In: Proceedings of the 2011 International Symposium on Computational Intelligence and Design. Hangzhou, China: IEEE, 2011. 216-219