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

TitleModel-based fault diagnosis of a two-stroke diesel engine
Publication TypeConference Paper
Year of Publication1995
AuthorsConstantinescu, R. F., P. D. Lawrence, P. G. Hill, and T. S. Brown
Conference NameSystems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Pagination2216 -2220 vol.3
Date Publishedoct.
Keywordscrankshaft angular velocity fluctuation, cylinder pressure waveform reconstruction, engine fault detection, engine modeling, fault diagnosis, fault isolation, internal combustion engines, Matlab, mechanical engineering, mechanical engineering computing, model-based fault diagnosis, parameter estimation, parameter identification, root mean square error, two-stroke diesel engine, waveform analysis

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


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