A Knowledge-Based Diagnostic Approach for the Launch of the Auto-Body Assembly Process

[+] Author and Article Information
D. Ceglarek, J. Shi, S. M. Wu

Department of Mechanical Engineering, The University of Michigan, Ann Arbor, MI 48109

J. Eng. Ind 116(4), 491-499 (Nov 01, 1994) (9 pages) doi:10.1115/1.2902133 History: Received January 01, 1993; Revised November 01, 1993; Online April 08, 2008


This paper is the first attempt to implement a knowledge-based diagnostic approach for the auto-body assembly process launch. This approach enables quick detection and localization of assembly process faults based on in-line dimensional measurements. The proposed approach includes an auto-body assembly knowledge representation and a diagnostic reasoning mechanism. The knowledge representation is comprised of the product, tooling, process, and measurement representations in the form of hierarchical groups. The diagnostic reasoning performs fault diagnostic in three steps. First, an initial statistical analysis of measurement data is performed. Next, the Candidate Component and Candidate Station with the hypothetical fault are searched. Finally, the fault symptom is identified and the root cause is suggested. Two case studies are presented to demonstrate the implementation of the proposed method.

Copyright © 1994 by The American Society of Mechanical Engineers
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