Title :
Actuator fault detection for a diesel engine using observer method based
Author :
Sallem, F. ; Dahhou, B. ; Li, Z. ; Kamoun, A.
Author_Institution :
LAAS-CNRS and University of Paul Sabatier, 7 Avenue of Colonel Roche F-31077, Toulouse, France
Abstract :
This paper proposes a framework for Fault Detection FD in linear systems developed in the context of systems invertibility. It deals with issues of actuator fault, so a diesel engine is introduced as a benchmark for model-based fault detection. The purpose is to provide a simple, industrial system as a platform for a new formulation of linear system diagnosis problem. FD performance specifications are provided. They include conditions for detection probability. Using the diesel engine model presented by two subsystems: the process subsystem and the actuator subsystem, simulations and experimental results show the advantages of the FD scheme observer based.
Keywords :
Actuators; Diesel engines; Fault detection; Fault diagnosis; Linear systems; Mathematical model; Observers; Actuator Subsystem; Diesel Engine; Fault Detection; Invertible System; Observer;
Conference_Titel :
Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH), 2014 International Conference on