Developing an Expert System of Failure Analysis

Yeong Ho Ho; Huei Sen Wang; Hei Chia Wang

doi:10.4028/www.scientific.net/AMM.284-287.2375

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 284-287Developing an Expert System of Failure Analysis

Developing an Expert System of Failure Analysis

Abstract:

An Equipment Failure Analysis Expert System (EFAES) is to be developed to help the engineers diagnose the causes of the failure mechanism and provide a reliable remedy. This system is based on an innovative reasoning approach: integrating the rule-based reasoning (RBR) and the case-based reasoning (CBR) methods The architecture developed in the system consists of six major elements-“Factor and Attribute Editor”, Knowledge Actuation Interface”, “Knowledge Base”, “User Interface”, “Inference Engine” and “Explanation Facility”. Here, the RBR system consists of 46 failure mechanisms and their rules. The CBR system consists of 586 failure cases which are coded and composed from 23 factors and their 265 attributes. Also, this system provides a variety of inference methods which allows retrieving the best answers to users. For the RBR system, performance is directly check the inferred order of the document ranking list. For the CBR system, the effectiveness of each inference method is evaluated by using “Recall”, “Precision”, and “F-Measure” approaches. From the test results, many recommendations are proposed.

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Periodical:

Applied Mechanics and Materials (Volumes 284-287)

Pages:

2375-2379

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.284-287.2375

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Online since:

January 2013

Authors:

Yeong Ho Ho, Huei Sen Wang, Hei Chia Wang

Keywords:

CBR, Equipment Failure Analysis Expert System, Inference, Knowledge Acquisition, RBR

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