Model-Based Fault Detection of Diesel Intake with Common Production Sensors 2002-01-1146
Methods for model-based fault detection are presented which detect a wide range of faults using only common production sensors, namely air mass sensor, manifold pressure sensor, manifold temperature sensor and engine speed. Five suitable reference models for fault detection are set up and identified at the test stand. The developed fault detection algorithms use the dependencies of the four sensor signals based on the reference models. Thereby five residuals and five symptoms are calculated. The model-based fault detection algorithms are implemented with a dSPACE Rapid Control Prototyping system and verified at the test stand. Measurements of online fault detection are shown.
Citation: Schwarte, A. and Isermann, R., "Model-Based Fault Detection of Diesel Intake with Common Production Sensors," SAE Technical Paper 2002-01-1146, 2002, https://doi.org/10.4271/2002-01-1146. Download Citation
Author(s):
Anselm Schwarte, Rolf Isermann
Affiliated:
Darmstadt University of Technology
Pages: 9
Event:
SAE 2002 World Congress & Exhibition
ISSN:
0148-7191
e-ISSN:
2688-3627
Also in:
Electronic Engine Control Technologies-PT-73, Electronic Engine Control Technologies, 2nd Edition-PT-110, Electronic Engine Controls 2002: Engine Control, Neural Networks and Non-Linear Systems-SP-1689
Related Topics:
Fault detection
Rapid prototyping
Sensors and actuators
Manifolds
Mathematical models
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