Fault diagnosis for industrial printers using case-based reasoning

Philip W. Grant; Paul M. Harris; Laurie Moseley

doi:10.1016/0952-1976(96)00009-7

Fault diagnosis for industrial printers using case-based reasoning

Philip W. Grant, Paul M. Harris, Laurie Moseley

Faculty of Life Sciences and Education

Research output: Contribution to journal › Article › peer-review

Abstract

The objective of this paper is to discuss first-hand experience of developing a fault-diagnostic application using a commercially available case-based reasoning (CBR) software tool. The paper will analyse the problem domain, discuss the need for a computing solution, compare two different computing approaches (rule-based systems and CBR), and state the effects and potential benefits to industry of introducing such systems.

Original language	English
Pages (from-to)	163-173
Journal	Engineering Applications of Artificial Intelligence
Volume	9
Issue number	2
DOIs	https://doi.org/10.1016/0952-1976(96)00009-7
Publication status	Published - 1 Apr 1996

Keywords

Case-based reasoning
fault diagnosis
ink-jet printers
knowledge-based systems

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10.1016/0952-1976(96)00009-7Licence: CC BY-NC-ND

Cite this

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title = "Fault diagnosis for industrial printers using case-based reasoning",

abstract = "The objective of this paper is to discuss first-hand experience of developing a fault-diagnostic application using a commercially available case-based reasoning (CBR) software tool. The paper will analyse the problem domain, discuss the need for a computing solution, compare two different computing approaches (rule-based systems and CBR), and state the effects and potential benefits to industry of introducing such systems.",

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author = "Grant, {Philip W.} and Harris, {Paul M.} and Laurie Moseley",

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KW - fault diagnosis

KW - ink-jet printers

KW - knowledge-based systems

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JO - Engineering Applications of Artificial Intelligence

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Fault diagnosis for industrial printers using case-based reasoning

Abstract

Keywords

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