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An Integrated Model of Product, Production Process and Quality Information for Failure Prediction

[+] Author Affiliations
Tsuyoshi Koga, Kazuhiro Aoyama

University of Tokyo, Tokyo, Japan

Paper No. DETC2005-85459, pp. 705-716; 12 pages
  • ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 4c: 18th Reliability, Stress Analysis, and Failure Prevention Conference
  • Long Beach, California, USA, September 24–28, 2005
  • Conference Sponsors: Design Engineering Division and Computers and Information in Engineering Division
  • ISBN: 0-7918-4741-1 | eISBN: 0-7918-3766-1
  • Copyright © 2005 by ASME


This study proposes a methodology for predicting product failures occurring due to known failures and causalities. The prediction is based on failure propagation in an integrated model of a product, production process, and quality information (PPQ). This methodology enables a designer to predict new failures. One of the concepts for failure prediction is the PPQ for compiling referring to quality-related issues. The other is an analysis methodology of the failure propagation for predicting new PPQ-based failures. The failure propagation indicates the possible failures from the production process and their causes. Three critical issues for system implementation are discussed in detail: 1) integrated PPQ model; 2) methodology for knowledge reuse by developing a PPQ-based library, and 3) an analysis methodology for failure prediction. The prototype system of the PPQ model is implemented for failure prediction in the example of a production system of Auto-Breaker.

Copyright © 2005 by ASME



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