论文信息 - Sensor fault detection and isolation for single, multiples and simultaneous faults: Application to a waste water treatment process

Sensor fault detection and isolation for single, multiples and simultaneous faults: Application to a waste water treatment process

Abstract Abstract In this paper, sensor fault detection, isolation and identification model-based approach is designed. We introduce a new state variable so that an augmented system can be constructed to treat sensor faults as actuator faults. The approach uses the model of the system and a bank of adaptive observers to generate residuals. Structured residuals are defined in such way to isolate the faulty sensor after detecting the fault occurrence. The advantage of this method is that we can treat single, multiple and simultaneous sensor faults. In this study, we consider that only abrupt faults in the system sensor can occur. The proposed strategy is validated by simulation results of a nonlinear model of a waste water treatment process.

Boutaieb Dahhou | Dimitrios Fragkoulis | Gilles Roux

[1] Christopher Edwards,et al. Sliding mode observers for reconstruction of simultaneous actuator and sensor faults , 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

[2] P. Frank. On-line fault detection in uncertain nonlinear systems using diagnostic observers: a survey , 1994 .

[3] M. Saif,et al. An actuator fault isolation strategy for linear and nonlinear systems , 2005, Proceedings of the 2005, American Control Conference, 2005..

[4] M. Saif,et al. Fault detection and isolation based on novel unknown input observer design , 2006, 2006 American Control Conference.

[5] Hassan Hammouri,et al. Observer-based approach to fault detection and isolation for nonlinear systems , 1999, IEEE Trans. Autom. Control..

[6] Alberto Isidori,et al. A geometric approach to nonlinear fault detection and isolation , 2000, IEEE Trans. Autom. Control..

[7] Janos Gertler,et al. Fault detection and diagnosis in engineering systems , 1998 .

[8] Raghunathan Rengaswamy,et al. A review of process fault detection and diagnosis: Part I: Quantitative model-based methods , 2003, Comput. Chem. Eng..

[9] Michel Kinnaert,et al. Diagnosis and Fault-Tolerant Control , 2006 .

[10] S. Spurgeon,et al. On the development of discontinuous observers , 1994 .

[11] Christopher Edwards,et al. Robust sliding mode observer-based actuator fault detection and isolation for a class of nonlinear systems , 2005, CDC 2005.