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University of Illinois at Urbana-Champaign

Model-based fault detection and diagnosis of selective catalytic reduction systems for diesel engines

Abstract

dc:description

The continuously stringent emission regulations call for the adaptation of the Selective Catalytic Reduction (SCR) system by many diesel manufacturers. In order to show the EPA the latest emission compliance, the sensors are required to be installed at upstream and downstream of the SCR. As a result, the reduction efficiency is also required to be monitored by the On-Board Diagnostics (OBD) regulations. Specifically, a diagnostic algorithm is required to detect and isolate the SCR system faults that may cause emission violation. In this research, two model-based fault detection and isolation algorithms are 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 nonlinear dynamic model was developed to facilitate the model-based approaches. A parity equation residual generator was designed based on the linearized SCR model and the fault transfer function matrix. Then, a sliding mode observer based residual generator is designed directly based on the nonlinear model. The two diagnostic algorithms are 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 two model-based fault diagnosis approaches are capable of detecting and isolating the outlet NOx sensor and dosing faults in real time.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Agricultural & Biological Engr
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2014

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Chen, Rui
Contributors dc:contributor
  • Wang, Xinlei
  • Hansen, Alan C.
  • Lee, Chia-Fon
  • Domínguez-García, Alejandro D.

Subjects

dc:subject × 5

Rights

dc:rights
Statement dc:rights
  • Copyright 2014 Rui Chen
Language dc:language
en

Identifiers

dc:identifier.*
Handle dc:identifier
http://hdl.handle.net/2142/50387
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/50387

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Chen, Rui. Model-based fault detection and diagnosis of selective catalytic reduction systems for diesel engines. Dissertation thesis, University of Illinois at Urbana-Champaign, 2014. http://hdl.handle.net/2142/50387