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


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
Your Session has timed out. Please sign back in to continue.





Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In