Model-Based Fault Diagnosis of Selective Catalytic Reduction Systems for Diesel Engines

Rui Chen, Xinlei Wang

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish (US)
Pages (from-to)449-453
Number of pages5
JournalSAE International Journal of Passenger Cars - Electronic and Electrical Systems
Issue number2
StatePublished - Aug 2014

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Automotive Engineering
  • Safety, Risk, Reliability and Quality
  • Electrical and Electronic Engineering

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