A methodology for fault diagnosis in robotic systems using neural networks

Robotica

Volumn 22, Issue 4, 2004, Pages 419-438

  Vemuri, Arun T ^a   Polycarpou, Marios M ^b  

^a VLR Embedded Inc   (United States)

^b University of Cincinnati   (United States)

Author keywords

Fault diagnosis; Neural networks; Robotic systems

Indexed keywords

ALGORITHMS; DATA PROCESSING; MANIPULATORS; MATHEMATICAL MODELS; MICROPROCESSOR CHIPS; NEURAL NETWORKS; PARAMETER ESTIMATION; PERTURBATION TECHNIQUES; REDUNDANCY; ROBUSTNESS (CONTROL SYSTEMS);

FAULT DIAGNOSIS (FD); NONLINEAR DEVIATION FAULTS; ROBOTIC MANIPULATORS; ROBOTIC SYSTEMS;

ROBOTICS;

EID: 3843152627     PISSN: 02635747     EISSN: None     Source Type: Journal    
DOI: 10.1017/S0263574703005204     Document Type: Article

References (57)

1. B. Fieyermuth, "An approach to model-based fault diagnosis of industrial robots", Proceedings of the 1991 IEEE Conference on Robotics and Automation (Sacramento, CA) (1991) pp. 1350-1356.
2. M.L. Visinsky, J.R. Cavallaro and I.D. Walker, "Expert system framework for fault detection and fault tolerance in robotics", Computers and Electrical Engineering 20, 421-435 (1994).
3. A. Pouliezos, S. Tzafestas and G. Stavrakakis, "Fault detection and location in MRAC robotic systems", In: System Fault Diagnostics, Reliability and Related Knowledge-Based Approaches (S. Tzafestas, M. Singh and G. Schmidt, eds.) (Reidel, 1986) pp. 203-217.
4. J. Wunnenberg and P.M. Frank, "Dynamic model-based incipient fault detection concept for robots", Proceedings of the IFAC 11th Triennial World Congress (Tallinn, Estonia) (1990) pp. 61-66.
5. F. Zanaty, "Consistency checking techniques for the space shuttle remote manipulator design", SPAR Journal of Engineering and Technology 2, No. 1, 40-49 (1993).
6. M. Hashimoto and R. Paul, "Integration of manipulator joint sensor information for robust robot control", Proceedings of the 26th Conference on Decision and Control (Los Angeles, CA) (1987) pp. 603-604.
7. H. Schneider and P.M. Frank, "Observer-based supervision and fault detection in robots using nonlinear and fuzzy logic residual evaluation", IEEE Transactions on Control Systems Technology 4, 274-282 (1996).
8. M.L. Visinsky, J.R. Cavallaro and I.D. Walker, "A dynamic fault tolerance framework for remote robots", IEEE Trans. on Robotics and Automation 11, 477-490 (1995).
9. F. Caccavale and I.D. Walker, "Observer-based fault detection for robot manipulators", Proceedings of the 1997 IEEE Conference on Robotics and Automation (Albuquerque, NM) (1997) pp. 2881-2887.
10. M.H. Terra and R.A. Mendes, "Fault detection and isolation applied in a manipulator robot via luenberger observers", Proc. IFAC Symposium on Fault Detection, Supervision and Safety for Processes (SAFEPROCESS) (Budapest, Hungary) (June, 2000), pp. 524-529.
11. F. Kerestecioglu and B.S. Nalbantoglu, "Fault detection in robot manipulators using statistical tests", In: Recent Advances in Mechatronics (O. Kaynak, M. Ang and S. Tosunoglu, eds.) (Singapore: Springer, 1999) pp. 481-492.
12. W.E. Dixon, I.D. Walker, D.M. Dawson and J.P. Hartranft, "Fault detection for robotic manipulators with parametric uncertainties", Proceedings of the 1999 IEEE Conference on Robotics and Automation (San Francisco, CA) (1999) pp. 3628-3634.
13. M.H. Terra and R. Tinos, "Fault detection and isolation in robotic manipulators: a comparison among three architectures for residual analysis", Journal of Robotic Systems 18, No. 3, 357-374 (2001).
14. M. Soika, "Grid-based fault detection and calibration of sensors on mobile robots", Proceedings of the 1997 IEEE Conference on Robotics and Automation (Albuquerque, NM) (1997) pp. 2589-2594.
15. L. Notash, "Joint sensor fault detection for fault tolerant parallel manipulators", Journal of Robotic Systems 17, No. 3, 149-1557 (2000).
16. J.-H. Shin and J.-J. Lee, "Fault detection and robust fault recovery control for robotic manipulators with actuator failures", Proceedings of the 1999 IEEE Conference on Robotics and Automation (Detroit, MI) (1999) pp. 861-866.
17. A.T. Vemuri, M.M. Polycarpou and S.A. Diakourtis, "Neural network-based fault detection and accommodation in robotic manipulators", IEEE transactions on Robotics and Automation 48, 342-348 (1999).
18. A.T. Vemuri and M.M. Polycarpou, "Neural network-based robust nonlinear fault diagnosis in robotic systems", IEEE Transactions on Neural Networks 8, 1410-1420 (1997).
19. R. Tinos and M.H. Terra, "Fault detection and isolation in robotic manipulators and the radial basis function network trained by the kohonen's self organizing map", Proceedings of the Vth Brazilian Symposium on Neural Networks (Belo Horizonte, MG, Brazil) (1998) pp. 603-604.
20. F.L. Lewis, C.T. Abdallah and D.M. Dawson, Control of Robot Manipulators (McMillan, 1993).
21. M.W. Spong and M. Vidyasagar, Robot Dynamics and Control (Wiley, 1989).
22. S. Haykin, Neural Networks: A Comprehensive Foundation (McMillan, 1994).
23. D.A. White and D.A. Sofget (eds), Handbook of Intelligent Control: Neural, Fuzzy, and Adaptive Approaches (Van Nostrand and Reinhold, 1993).
24. J.A. Farrell, T. Berger and B.D. Appleby, "Using learning techniques to accommodate unanticipated faults", IEEE Control Systems 13, 40-49 (1993).
25. M.M. Polycarpou and A.T. Vemuri, "Learning methodologies for failure detection and accommodation", IEEE Control Systems Magazine 15, 16-24 (1995).
26. P.M. Frank, "On-line fault detection in uncertain nonlinear systems using diagnostic observers: a survey", Int. J. System Science 25, 2129-2154 (1994).
27. R.J. Patton, "Robust model-based fault diagnosis: the state of the art", Proc. IFAC Symposium on Fault Detection, Supervision and Safety for Processes (SAFEPROCESS) (Espoo, Finland) (June, 1994) pp. 1-24.
28. J.J. Gertler and M.M. Kunwer, "Optimal residual decoupling for robust fault diagnosis", Proc. of Int. Conf. on Fault Diagnosis: TOOLDIAG'93 (Toulouse, France) (April, 1993) pp. 5-7.
29. R.J. Patton and J. Chen, "Robust fault detection of jet engine sensor systems by using eigenstructure assignment", J. Guidance, Contr., Dynamics 15, 1491-1496 (1992).
30. R.J. Patton and J. Chen, "Optimal unknown input: distribution matrix selection in robust fault diagnosis", Automatica 29, 837-841 (1993).
31. A. Emami-Naeini, M.M. Akhter and S.M. Rock, "Effect of model uncertainty on failure detection: the threshold selector", IEEE Transactions on Automatic Control 33, 1106-1115 (1988).
32. B. A. Walker, "Fault detection threshold determination using Markov theory", In: Fault Diagnosis in Dynamic Systems, Theory and Application (R.J. Patton, P.M. Frank and R.N. Clark, eds) (Englewood Cliffs, NJ: Prentice Hall, 1989) pp. 447-508.
33. H. Schneider and P.M. Frank, "Fuzzy logic-based threshold adaption for fault detection in robots", Proceedings of the Third IEEE Conference on Control Applications (Scotland, UK) (1994) pp. 1127-1132.
34. R.J. Patton, P.M. Frank and R.N. Clark, Fault Diagnosis in Dynamic Systems: Theory and Application (Englewood Cliffs, NJ: Prentice Hall, 1989).
35. P.M. Frank, "Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy - a survey and some new results", Automatica 26, 459-474 (1990).
36. P.M. Frank and N. Kiupel, "Fuzzy supervision and application to lean production", Int. J. System Science 24, 1935-1944 (1993).
37. J. Jiang and F. Jia, "A robust fault diagnosis scheme based on signal modal estimation", Int. J. Control 62, 461-475 (1995).
38. H.J. Manquez and C.P. Diduch, "Sensitivity of failure detection using generalized observers", Automatica 28, 837-840 (1992).
39. P.M. Olin and G. Rizzoni, "Design of robust detection filters", Proc. American Control Conf. (June, 1991) pp. 1522-1527.
40. J.J. Gertler and D. Singer, "A new structural framework for parity equation-based failure detection and isolation", Automatica 26, 381-388 (1990).
41. J.J. Gertler, Fault Detection and Diagnosis in Engineering Systems (Marcel Dekker, 1998).
42. J. Chen and R.J. Patton, Robust Model-Based Fault Diagnosis for Dynamic Systems (Kluwer Academic Publishers, 1999).
43. A.T. Vemuri and M.M. Polycarpou, "Robust fault diagnosis in input-output systems", Int. J. Control 68, No. 2, 343-360 (1997).
44. M.A. Demetriou and M.M. Polycarpou, "Incipient fault diagnosis of dynamical systems using on-line approximators", IEEE Transactions on Automatic Control 48, 1612-1617 (1998).
45. A.T. Vemuri and M.M. Polycarpou, "On-line approximation-based methods for robust fault detection", Proceedings of the 13th IFAC World Congress (San Francisco, CA) (July, 1996) Vol. K, pp. 319-324.
46. P.A. Ioannou and J. Sun, Stable and Robust Adaptive Control (Prentice-Hall, 1995).
47. M.M. Polycarpou and P.A. Ioannou, "On the existence and uniqueness of solutions in adaptive control systems", IEEE Transactions on Automatic Control 38, 474-479 (1993).
48. M.M. Polycarpou and A. Trunov, "Learning approach to nonlinear fault diagnosis: Detectability analysis", IEEE Transactions on Automatic Control 45, 806-812 (2000).
49. M.M. Polycarpou and P.A. Ioannou, "Modeling, identification and stable adaptive control of continuous-time nonlinear dynamical systems using neural networks", Proceedings of the 1992 American Control Conference (1992) pp. 36-40.
50. R.M. Sanner and J.-J.E. Slotine, "Gaussian networks for direct adaptive control", IEEE Transactions on Neural Networks, 837-863 (1992).
51. K. Hornik, M. Stinchcombe and H. White, "Multilayer feedforward networks are universal approximators", Neural Networks 2, 359-366 (1989).
52. J.D. DePree and C.W. Swartz, Introduction to Real Analysis (Wiley, 1988).
53. Z. Qu, D.M. Dawson and J.H. Dorsey, "Exponentially stable trajectory following of robotic manipulators under a class of adaptive controls", Automatica 28, 579-586 (1992).
54. D.M. Dawson, M.M. Bridges and Z. Qu, Nonlinear Control of Robotic Systems for Environmental Waste and Restoration (Prentice Hall, 1995).
55. T.D. Sanger, "Neural network learning control of robot manipulators using gradually increasing task difficulty", IEEE Transactions on Robotics and Automation 10, 323-333 (1994).
56. M.M. Polycarpou, "Fault accommodation for a class of multivariable nonlinear dynamical systems using a learning approach", IEEE Transactions on Automatic Control 46, 736-742 (2001).
57. A. Isidori, Nonlinear Control Systems (Springer-Verlag, 2nd ed., 1989).