Fault detection in a class of hybrid system

This paper presents the mathematical abstraction for detecting faults in a class of MIMO system where inputs are acting in a specific cyclic sequence to produce the output using hybrid modeling. Based on the proposed mathematical abstraction an algorithm is proposed for the detection of faults in these systems. The method is then applied for the problem of misfire fault detection in spark ignition engines and simulation results are provided with noise added in data.

[1]  J. Lunze,et al.  Diagnosis of Complex Systems: Bridging the Methodologies of the FDI and DX Communities , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[2]  G. Rizzoni.  A passenger vehicle onboard computer system for engine fault diagnosis, performance measurement and control , 1987, 37th IEEE Vehicular Technology Conference.

[3]  Maria Domenica Di Benedetto,et al.  Hybrid control of force transients for multi‐point injection engines , 2001 .

[4]  John J. Moskwa,et al.  Model-based engine fault detection using cylinder pressure estimates from nonlinear observers , 1994, Proceedings of 1994 33rd IEEE Conference on Decision and Control.

[5]  Rolf Isermann,et al.  Model-based fault-detection and diagnosis - status and applications , 2004, Annu. Rev. Control..

[6]  Fengshou Gu,et al.  The on-line detection of engine misfire at low speed using multiple feature fusion with fuzzy pattern recognition , 2002 .

[7]  Lisa M. Bartlett,et al.  Application of the digraph method in system fault diagnostics , 2006, First International Conference on Availability, Reliability and Security (ARES'06).

[8]  N. Speciale,et al.  Multiple Misfire Identification by a Wavelet-Based Analysis of Crankshaft Speed Fluctuation , 2006, 2006 IEEE International Symposium on Signal Processing and Information Technology.

[9]  Yunsong Wang,et al.  Real-time misfire detection via sliding mode observer , 2005 .

[10]  Aamer I. Bhatti,et al.  Estimation of Gasoline-Engine Parameters Using Higher Order Sliding Mode , 2008, IEEE Transactions on Industrial Electronics.

[11]  P. Boguś,et al.  Overview of engine misfire detection methods used in on board diagnostics , 2001 .

[12]  Jaehong Park,et al.  Application of adaptive control to the fluctuation of engine speed at idle , 2007, Inf. Sci..

[13]  Andrés Melgar,et al.  Misfire and compression fault detection through the energy model , 2007 .