This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Risk Analysis for Monitoring and Diagnosis of Problems in the Automotive Industry
Technical Paper
2004-21-0007
Annotation ability available
Sector:
Language:
English
Abstract
The automotive industry designs, manufactures and maintains systems in which malfunctions or defects can be detected at different stages of a vehicle’s lifecycle, e.g., the R&D process, manufacturing, or operations. Warnings of possible defects or malfunctions are based on test results as well as on-board and off-board signals. Effective diagnosis systems can help the driver in a single incident, and the vehicle manufacturer in the long-term. In all cases, data need to be gathered and communicated, and measures need to be taken on a timely basis to avoid expensive recalls, accidents, and/or commercial failures. Risk analysis models based on engineering systems analysis, probability, and human and management factors, can support the design of efficient warning systems. We present here some characteristics of effective signals, lessons learned from past failures in different industries, and analytical approaches to the design of monitoring systems that can beneficial in the automotive industry.
Recommended Content
Authors
Citation
Paté-Cornell, M. and Han, B., "Risk Analysis for Monitoring and Diagnosis of Problems in the Automotive Industry," SAE Technical Paper 2004-21-0007, 2004.Also In
References
- The U.S. National Highway Transportation Safety Administration 2001 “Federal Motor Vehicle Safety Standards; Tire Pressure Monitoring Systems; Controls and Displays.” NHTSA
- National Academy of Engineering June 2004 Accident Precursor Report Proceedings of the July 2003 NAE Workshop on Precursors National Academies Press Washington D.C.
- Bureau Enquêtes-Accidents 2001 “Accident survenu le 25 juillet 2000 au lieu-dit La Patte d’Oie de Gonesse (95) au Concorde immatriculé F-BTSC exploité par Air France.”
- Paté-Cornell, M.E. Fischbeck P.S. 1994 “Risk Management for the Tiles of the Space Shuttle,” Interfaces 24 64 86
- Public Citizen and Safetyforum.com 2001 “Spinning Their Wheels: How Ford and Firestone Fail to Justify the Limited Tire Recall.” January 4 2001
- Paté-Cornell, M.E. 2002 “Fusion of Intelligence Information: a Bayesian Approach” Risk Analysis 22 No. 3
- Savage, L.J. 1954 The Foundations of Statistics Weiley New York
- Paté-Cornell, M.E. “Warning Systems in Risk Management,” Risk Analysis 5 No. 2 June 1986 223 234
- Von Neumann J. Morgenstern O. 1947 Theory of games and economic behavior Princeton, NJ Princeton Press
- Raiffa, H. 1968 Decision Analysis. Addison-Wesley Menlo Park, CA
- Howard, R.A. 1966 “Information value theory” IEEE Transactions on Systems Science and Cybernetics SSC-2 No. 1 22 26
- Lakats L.M. Paté-Cornell M.E. 2004 “Organizational Warnings and System Safety: A Probabilistic Analysis” IEEE Transactions on Engineering Management 51 No. 2 354 370
- Henley, E. Kumamoto H. 1992 Probabilistic Risk Assessment: Reliability Engineering, Design and Analysis IEEE Press Piscataway, NJ
- Garrick J.B. 1984 Advances in Probabilistic Risk Assessment Risk Analysis
- Paté-Cornell, M.E. Murphy, D.M. Lakats L.M. Gaba, D. M. 1996 “Patient Risk in Anesthesia: Probabilistic Risk Analysis, Management Effects and Improvements” Annals of Operations Research 67 211 233
- Murphy D. Paté-Cornell M.E. 1996 “Human and Management Factors in Probabilistic Risk Analysis: the SAM Approach and Observations from Recent Applications” Reliability Engineering and System Safety 53 115 126