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Model-based engine fault detection and isolation

Dutka, A. and Javaherian, H. and Grimble, M.J. (2009) Model-based engine fault detection and isolation. In: UNSPECIFIED.

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Abstract

To a large extent, tailpipe emissions are influenced by the accuracy and reliability of the intake manifold sensors and the predictive models used for cylinder charge estimation. In this paper, mathematical models of an internal combustion engine are employed to detect failures in the intake manifold. These can be associated with the upstream sensors such as the pressure and temperature sensors as well as systemic faults such as a leakage in the intake manifold. Any fault will adversely affect the proper operation of the air-fuel ratio control system and must be detected at an early stage. Through the use of dedicated observers, residual errors can be generated and thresholds established. Methods for the isolation of the detected faults are proposed and applied to a 5.7 L V8 engine model. Simulation results for the Federal Test Procedure (FTP) driving cycle indicate that fast and reliable detection and isolation of the faults is possible.

Item type: Conference or Workshop Item (Paper)
ID code: 14834
Keywords: mathematical models, upstream sensors, Federal Test Procedure, Electrical engineering. Electronics Nuclear engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Related URLs:
Depositing user: Strathprints Administrator
Date Deposited: 12 May 2011 14:29
Last modified: 12 Mar 2012 11:00
URI: http://strathprints.strath.ac.uk/id/eprint/14834

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