Fault Detection And Identification With Application To Advanced Vehicle Control Systems

This report continues work on the design of a health monitoring system for automated vehicles. The approach is designed to fuse data from dissimilar instruments using modeled dynamic relationships and fault detection and identification filters. Issues relating to sensor models, output separability, steady-state fault persistence and the spectral content of sensor faults are considered.

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Year of publication:	1997-01-01
Authors:	Douglas, Randal K. ; Chung, Walter H. ; Malladi, Durga P. ; Chen, Robert H. ; Speyer, Jason L. ; Mingori, D. Lewis
Institutions:	Institute for Transportation Studies (ITS), University of California-Berkeley
Subject:	Automobiles-Automatic control \| Motor vehicles-Automatic control \| Advanced vehicle control systems \| Automatic vehicle monitoring

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Extent:	application/pdf
Series:	Institute of Transportation Studies, Research Reports, Working Papers, Proceedings.
Type of publication:	Book / Working Paper
Notes:	The text is part of a series Institute of Transportation Studies (UCB)
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010537051