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Model-Based Fault Diagnosis of Selective Catalytic Reduction Systems for Diesel Engines
ISSN: 1946-4614, e-ISSN: 1946-4622
Published April 01, 2014 by SAE International in United States
Citation: Chen, R. and Wang, X., "Model-Based Fault Diagnosis of Selective Catalytic Reduction Systems for Diesel Engines," SAE Int. J. Passeng. Cars – Electron. Electr. Syst. 7(2):449-453, 2014, https://doi.org/10.4271/2014-01-0280.
In this paper, a model-based diagnostic system was developed to detect and isolate the dosing fault and the outlet NOx sensor fault for the SCR system. The dosing fault is treated as an actuator additive fault, while the outlet NOx sensor drift and/or offset fault is treated as a sensor additive fault. First, a 0-D SCR model was developed to facilitate the model-based approach. A parity equation residual generator was designed based on the linearized SCR model and the fault transfer function matrix. The diagnostic algorithm is then implemented in the Matlab/Simulink environment for validation. A high fidelity nonlinear 1-D SCR model is used to generate system outputs and to simulate the plant. The simulation results show that the model-based fault diagnosis system succeeds in detecting and isolating the outlet NOx sensor and dosing faults with good sensitivity and robustness