Title :
Fault detection in a class of hybrid system
Author :
Rizvi, M.A. ; Bhatti, A.I. ; Butt, Q.R.
Author_Institution :
Electron. Eng. Dept., Mohammad Ali Jinnah Univ., Islamabad, Pakistan
Abstract :
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.
Keywords :
MIMO systems; electric ignition; engines; fault simulation; MIMO system; fault detection; hybrid system; mathematical abstraction; noise; spark ignition engines; specific cyclic sequence; Actuators; Engine cylinders; Fault detection; Fault diagnosis; Fluctuations; Ignition; MIMO; Power system modeling; Sparks; Steady-state; Fault Diagnosis; Hybrid Systems; Mean value model; Misfire; SI Engine; component;
Conference_Titel :
Emerging Technologies, 2009. ICET 2009. International Conference on
Conference_Location :
Islamabad
Print_ISBN :
978-1-4244-5630-7
Electronic_ISBN :
978-1-4244-5631-4
DOI :
10.1109/ICET.2009.5353187
