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RESEARCH PAPERS

On-Board Real-Time Failure Detection and Diagnosis of Automotive Systems

[+] Author and Article Information
C. D. de Benito

Project Trilby, General Motors Research Laboratories, Warren, Mich. 48090

J. Dyn. Sys., Meas., Control 112(4), 769-773 (Dec 01, 1990) (5 pages) doi:10.1115/1.2896207 History: Received March 10, 1988; Online March 17, 2008

Abstract

This paper presents a failure detection and diagnosis (FDD) technique for on-board vehicle applications. Failures are represented by abrupt changes in the characteristic parameters of a system that occur at random instants of time. This representation facilitates the formulation of the FDD problem as a combined state and parameter estimation problem of a system with uncertain parameters. This nonlinear estimation problem is solved using a Bayesian approach and implementing a suboptimal algorithm. The performance of the FDD system is demonstrated in simulations of an active suspension subjected to sensor failures. In the simulations, the system detected and diagnosed the failures correctly within .05 seconds from their occurrence.

Copyright © 1990 by The American Society of Mechanical Engineers
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