Fault diagnosis for industrial printers using case-based reasoning

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

Research output: Contribution to journalArticlepeer-review


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 languageEnglish
Pages (from-to)163-173
JournalEngineering applications of artificial intelligence
Issue number2
Publication statusPublished - 1 Apr 1996


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


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