Fault Detection and Identification with Application to Advanced Vehicle Control Systems
In this report, a preliminary design of a health monitoring system for automated vehicles is developed and results of tests in a high- fidelity nonlinear simulation are reported. Two car models are described: low- dimensional linear models for fault detection filter design and high fidelity nonlinear model is used for evaluation and to obtain the linear models used for design. The faults and the fault detection filters and system are then described. An evaluation of the performance of the fault detection filters in a nonlinear simulation are presented. A fault detection filter residual processing system using a neural network, is then described.
- Record URL:
-
Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/10551425
-
Supplemental Notes:
- Publication Date: 1995 Published By: California PATH Program, Institute of Transportation Studies, University of California, Berkeley CA
-
Corporate Authors:
University of California, Berkeley
California PATH Program, Institute of Transportation Studies
Richmond Field Station, 1357 South 46th Street
Richmond, CA United States 94804-4648University of California, Los Angeles
Department of Mechanical, Aerospace and Nuclear Engineering
Los Angeles, CA United StatesCalifornia Department of Transportation
1120 N Street
Sacramento, CA United States 95814 -
Authors:
- Douglas, Randal K
- Publication Date: 1995
Language
- English
Media Info
- Media Type: Digital/other
- Pagination: xviii, 74 p.
-
Serial:
- PATH Research Report
- Publisher: University of California, Berkeley
- ISSN: 1055-1425
Subject/Index Terms
- TRT Terms: Advanced vehicle control systems; Fault monitoring
- Old TRIS Terms: Health monitoring systems
- Subject Areas: Operations and Traffic Management;
Filing Info
- Accession Number: 00774107
- Record Type: Publication
- Source Agency: UC Berkeley Transportation Library
- Report/Paper Numbers: UCB-ITS-PRR-95-26
- Files: PATH, TRIS, STATEDOT
- Created Date: Nov 17 1999 12:00AM