Parameter Estimation Toward Fault Diagnosis in Nonlinear Systems Using a Markov Model of System Dynamics

References

• G. REZA and G. L. BLAKENSHIP, “Adaptive Control of Nonlinear Systems via Approximate Linearization,” IEEE Trans. Autom. Control, 41, 618 (1996).
   Google Scholar
• G. E. YOUNG and K. S. SURESH, “Block-Recursive Identification of Parameters and Delay in the Presence of Noise,” J. Dyn. Syst., Meas., Control, 117, 600 (1995).
   Google Scholar
• M. A. HOPKINS and H. F. vanLANDINGHAM, “Optimal Nonlinear Estimation of Linear Stochastic Systems,” J. Dyn. Syst., Meas., Control, 116, 529 (1994).
   Google Scholar
• M. A. HOPKINS and H. F. vanLANDINGHAM, “Optimal Nonlinear Estimation of Linear Stochastic Systems: The Multivariate Extension,” J. Dyn. Syst., Meas., Control, 118, 350 (1996).
   Google Scholar
• R. ISERMANN, “Process Fault Detection Based on Modeling and Estimation Methods—A Survey,” Automatica, 20, 4, 387 (1984).
   Web of Science ®Google Scholar
• D. J. MOOK, “Estimation and Identification of Nonlinear Dynamic Systems,” AIAA J., 27, 968 (1989).
   Google Scholar
• D. FILBERT, “Fault Diagnosis in Nonlinear Electromechanical Systems by Continuous Time Parameter Estimation,” ISA Trans., 24, 3, 23 (1985).
   Google Scholar
• Z.-S. LIU, “QR Methods of O(N) Complexity in Adaptive Parameter Estimation,” IEEE Trans. Signal Processing, 43, 720 (1995).
   Google Scholar
• K. D. HJELMSTAD and M. R. BANAN, “Time-Domain Parameter Estimation Algorithm for Structures. I: Computational Aspects,” J. Eng. Mech., 121, 424 (1995).
   Web of Science ®Google Scholar
• M. GUAY and D. D. McLEAN, “Optimization and Sensitivity Analysis for Multiresponse Parameter Estimation in Systems of Ordinary Differential Equations,” Comput. Chem. Eng., 19, 1271 (1995).
   Google Scholar
• J. S. ALBUQUERQUE and L. T. BIEGLER, “Decomposition Algorithm for On-line Estimation with Nonlinear Models,” Comput. Chem. Eng., 19, 1031 (1995).
   Google Scholar
• H. W. CHEN, “Modeling and Identification of Parallel Nonlinear Systems: Structural Classification and Parameter Estimation Methods,” Proc. IEEE, 83, 39 (1995).
   Google Scholar
• M. J. Van de MOLENGRAFT and F. E. VELDPAUS, “An Optimal Estimation Method for Nonlinear Models of Mechanical Systems,” J. Dyn. Syst. Meas., Control, 116, 805 (1994).
   Google Scholar
• Y. H. PARK and N. Z. CHO, “Estimation of Neutron Flux and Xenon Distributions via Observer-Based Control Theory,” Nucl. Sci. Eng., 111, 66 (1992).
   Web of Science ®Google Scholar
• A. TORNAMBE, “Control Laws Based on Parameter Estimation,” J. Dyn. Syst., Meas., Control, 114, 186 (1992).
   Google Scholar
• M. RICARDO and P. TOMEI, “Adaptive Observers with Arbitrary Exponential Rate of Convergence for Nonlinear Systems,” IEEE Trans. Autom. Control, 40, 1300 (1995).
   Google Scholar
• V. KRISHNASWAMI, C. SIVIERO, F. CARBOGNANI, G. RIZZONI, and V. UTKIN, “Application of Sliding Mode Observers to Automobile Powertrain Diagnostics,” Proc. Conf. Control Applications, CCA 96, Dearborn, Michigan, 1996, p. 355, Institute of Electrical and Electronics Engineers (1996).
   Google Scholar
• V. KRISHNASWAMI, G. LUH, and G. RIZZONI, “Nonlinear Parity Equation Based Residual Generation for Diagnosis of Automotive Engine Faults,” IFAC J. Control Eng. Practice, 3, 10, 1385 (1995).
   Google Scholar
• R. ISERMANN and B. FREYERMUTH, “Process Fault Diagnosis Based on Process Model Knowledge—Part I: Principles for Fault Diagnosis with Parameter Estimation,” Trans. ASME, 113, 620 (1991).
   Google Scholar
• A. G. PARLOS, A. F. ATIYA, K. T. CHONG, and W. K. TSAI, “Nonlinear Identification of Process Dynamics Using Neural Networks,” Nucl. Technol., 97, 79 (1992).
   Web of Science ®Google Scholar
• A. G. PARLOS, J. MUTHUSAMI, and A. F. ATIYA, “Incipient Fault Detection and Identification in Process Systems Using Accelerated Neural Network Learning,” Nucl. Technol., 105, 145 (1994).
   Web of Science ®Google Scholar
• C. E. D’ATTELLIS and E. CORTINA, “Simultaneous Estimation of Neutron Density and Reactivity in a Nuclear Reactor Using a Bank of Kalman Filters,” Nucl. Sci. Eng., 105, 297 (1990).
   Web of Science ®Google Scholar
• M. BELHADJ and T. ALDEMIR, “Safety-Oriented Global Analysis of Reactor Dynamics,” Trans. Am. Nucl. Soc., 65, 211 (1992).
   Google Scholar