Model-based fault diagnosis of a two-stroke diesel engine

Author

Constantinescu, Raluca F. ; Lawrence, Peter D. ; Hill, Phillip G. ; Brown, Terrence S.

Author_Institution

British Columbia Univ., Vancouver, BC, Canada

Volume

3

fYear

1995

fDate

22-25 Oct 1995

Firstpage

2216

Abstract

In the context of engine fault detection and isolation, we focus on three main aspects: engine modeling and validation, engine parameter identification, and cylinder pressure waveform reconstruction. Simulation results obtained with MATLAB show a root mean square (RMS) error of 0.0891 rad/sec between the estimated and the actual crankshaft angular velocity fluctuation for the normal operating condition. The pressure waveform reconstruction is characterized by a RMS pressure error range of 0.155 MPa to 0.277 MPa for the normal operating condition. For each of the six under-fueling faults, the pressure waveform corresponding to the faulty cylinder is reconstructed. The RMS error range is of 0.155 MPa to 0.386 MPa

Keywords

fault diagnosis; internal combustion engines; mechanical engineering; mechanical engineering computing; parameter estimation; waveform analysis; MATLAB; crankshaft angular velocity fluctuation; cylinder pressure waveform reconstruction; engine fault detection; engine modeling; fault isolation; model-based fault diagnosis; parameter identification; root mean square error; two-stroke diesel engine; Angular velocity; Context modeling; Diesel engines; Engine cylinders; Fault detection; Fault diagnosis; MATLAB; Mathematical model; Parameter estimation; Root mean square;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-2559-1

Type

conf

DOI

10.1109/ICSMC.1995.538110

Filename

538110