KNOWLEDGE-BASED APPROACHES TO FAULT-DIAGNOSIS - A PRACTICAL EVALUATION OF THE RELATIVE MERITS OF DEEP AND SHALLOW KNOWLEDGE

被引：7

作者：

DOHERTY, NF

KOCHHAR, AK

MAIN, R

机构：

[1] Loughborough University Business School, Loughborough University of Technology

[2] Department of Mechanical Engineering, University of Manchester Institute of Science and Technology

[3] Lucas Engineering and Systems, Solihull, West Midlands

来源：

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE | 1994年 / 208卷 / 01期

关键词：

D O I：

10.1243/PIME_PROC_1994_208_058_02

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper argues that knowledge-based systems are an appropriate tool for the diagnosis of faults in complex devices and that both deep and shallow knowledge have their part to play in this process The successful implementation and evaluation of the two diagnostic knowledge-based systems, named DIPLOMA and MIDAS, have shown that such systems are an appropriate tool for the diagnosis of faults in complex hydromechanical devices and that they make a beneficial contribution to the business performance of the host organization. Furthermore, it has been demonstrated that the most effective and comprehensive knowledge-based approach to fault diagnosis is one that incorporates both deep and shallow knowledge, so that the distinctive advantages of each can be realized in a single application.

引用

页码：39 / 45

页数：7

共 21 条

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