Picture of neon light reading 'Open'

Discover open research at Strathprints as part of International Open Access Week!

23-29 October 2017 is International Open Access Week. The Strathprints institutional repository is a digital archive of Open Access research outputs, all produced by University of Strathclyde researchers.

Explore recent world leading Open Access research content this Open Access Week from across Strathclyde's many research active faculties: Engineering, Science, Humanities, Arts & Social Sciences and Strathclyde Business School.

Explore all Strathclyde Open Access research outputs...

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.

Full text not available in this repository. Request a copy from the Strathclyde author

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.