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Agent-Based Monitoring using Case-Based Reasoning for Experience Reuse and Improved Quality
Publication Type:
Journal article
Venue:
Journal of Quality in Maintenance Engineering
Publisher:
Emerald Journals
Abstract
Purpose The purpose of this paper is to propose an agent-based condition monitoring system for
use in industrial applications. An intelligent maintenance agent is described that is able to
autonomously perform necessary actions and/or aid a human in the decision-making process.
An example is presented as a case-study from manufacturing of industrial robots.
Design/methodology/approach The paper is mainly based on a case-study performed at a large
multi-national company aiming to explore the usefulness of case-based experience reuse in production.
Findings This paper presents a concept of case-based experience reuse in production.
A maintenance agent using a case-based reasoning (CBR) approach to collect, preserve and reuse
available experience in the form of sound recordings exemplifies this concept. Sound from normal and
faulty robot gearboxes are recorded during the production end test and stored in a case library
together with their diagnosis results. Given an unclassified sound signal, relevant cases are retrieved
to aid a human in the decision-making process. The maintenance agent demonstrated good
performance by making right judgments in 91 per cent of all the tests, which is better than an
inexperienced technician.
Practical implications Experienced staffs acquire their experience during many years of practice
and sometimes also through expensive mistakes. The acquired experience is difficult to preserve and
transfer and it often gets lost if the corresponding personnel leave their job due to retirements, etc.
The proposed CBR approach to collect, preserve and reuse the available experience enables a large
potential for time and cost savings, predictability and reduced risk in the daily work. The paper
exemplifies experience reuse for quality improvement in production using a number of methods and
techniques from artificial intelligence.
Originality/value The main focus of this paper is to show how to perform efficient experience
reuse in modern production industry to improve quality of products. Two approaches are used: a
case-study describing an example of experience reuse in production using a fault diagnosis system
recognizing and diagnosing audible faults on industrial robots and an efficient approach on how to
package such a system using the agent paradigm and agent architecture.
Bibtex
@article{Olsson1384,
author = {Ella Olsson and Peter Funk},
title = {Agent-Based Monitoring using Case-Based Reasoning for Experience Reuse and Improved Quality},
month = {February},
year = {2009},
journal = {Journal of Quality in Maintenance Engineering},
publisher = {Emerald Journals},
url = {http://www.es.mdu.se/publications/1384-}
}