Risk Analysis for Monitoring and Diagnosis of Problems in the Automotive Industry Department of Management Science and Engineering, Stanford University

Format:

Book

Conference/Event

Author/Creator:

Paté-Cornell, M. Elisabeth, author.

Conference Name:

Convergence International Congress & Exposition On Transportation Electronics (2004-10-18 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Troy, MI Convergence Transportation Electronics Association 2004

Summary:

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

Notes:

Vendor supplied data

Publisher Number:

2004-21-0007

Access Restriction:

Restricted for use by site license