Prototype of an Intelligent Failure Analysis System

  • Authors:
  • Claude Mount;T. Warren Liao

  • Affiliations:
  • -;-

  • Venue:
  • ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
  • Year:
  • 2001

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Abstract

The investigation of commercial/industrial failures is a vital, but complex task. This paper presents an Intelligent Failure Analysis System (aIFAS). It is a system designed by a failure analyst with the goal of making failure investigation easier. The knowledge base for aIFAS comes from commercial laboratory reports. The methodologies employed represent the experience gained from over six years of development. One goal of aIFAS is to provide a case-based expert system tool to help find answers. Functionality ranges from matching a new case against stored example cases to extracting relational data from the aIFAS knowledge base.