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| Title | Model-based fault diagnosis of a two-stroke diesel engine |
| Publication Type | Conference Paper |
| Year of Publication | 1995 |
| Authors | Constantinescu, R. F., P. D. Lawrence, P. G. Hill, and T. S. Brown |
| Conference Name | Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on |
| Pagination | 2216 -2220 vol.3 |
| Date Published | oct. |
| Keywords | crankshaft 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 |
| 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 |
| URL | http://dx.doi.org/10.1109/ICSMC.1995.538110 |
| DOI | 10.1109/ICSMC.1995.538110 |