0
RESEARCH PAPERS: Reliability, Stress Analysis, and Failure Prevention

A Method for Reasoning by Analogy in Failure Analysis

[+] Author and Article Information
J. P. Morrill

BBN Laboratories, 70 Fawcett Street, Cambridge, MA 02238

D. Wright

Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27706

J. Vib., Acoust., Stress, and Reliab 111(3), 306-310 (Jul 01, 1989) (5 pages) doi:10.1115/1.3269857 History: Received August 30, 1988; Online November 23, 2009

Abstract

An artificial intelligence computer program is being developed for automating the analysis of metallurgical failures. The purpose of this expert system is for recognizing modes of failure like stress corrosion and hydrogen embrittlement. We have previously described a method for recognizing mode of failure based on a form of diagnosis or statistical categorization. In this paper, an alternative method is developed for recognizing mode of failure as a means of confirming or disconfirming the conclusions derived by categorizing. This method is a form of reasoning by analogy that recognizes when the current case is similar to some previously encountered case and uses this information to draw conclusions. The expert system is “programmed” by providing a set of correctly solved examples rather than IF-THEN rules. Accuracy of analogical reasoning is found to increase with number of stored examples, and in recognizing modes of failure an error rate as low as 20.7 percent is observed to occur.

Copyright © 1989 by ASME
Your Session has timed out. Please sign back in to continue.

References

Figures

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In