Paper Title:
Case Retrieval Mechanism of the Intelligent RCM Analysis System
  Abstract

To improve Reliability Centered Maintenance (RCM) analysis efficiency, the Artificial Intelligence (AI) technology, such as case-based reasoning (CBR) is successfully introduced into RCM analysis process and an intelligent RCM analysis (IRCMA) was studied, and an intelligent RCM analysis system (IRCMAS) was developed. The idea for IRCMAS is based on the fact that the historical records of RCM analysis on similar items can be referenced and used for the current RCM analysis of a new item. Case retrieval is the key part of the IRCMAS, of which mechanism has an importance effect on reasoning efficiency of system. In this paper, the IRCMAS is introduced, retrieval mechanism and process of cases are presented, and nearest neighbor retrieval method based on analytic hierarchy process (AHP) is in detail discussed by an example. Design of case retrieval mechanism lays steady foundation for development and realization of intelligent RCM analysis system.

  Info
Periodical
Edited by
Zhu Zhilin & Patrick Wang
Pages
686-691
DOI
10.4028/www.scientific.net/AMM.40-41.686
Citation
Z. H. Cheng, L. C. Wang, L. B. Lv, "Case Retrieval Mechanism of the Intelligent RCM Analysis System", Applied Mechanics and Materials, Vols. 40-41, pp. 686-691, 2011
Online since
November 2010
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Price
$32.00
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