You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.

The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.

For the reports in this repository we specifically note that

  • the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at http://www.ieee.org/web/publications/rights/copyrightpolicy.html)
  • the use of articles under ACM copyright is governed by the ACM copyright policy (available at http://www.acm.org/pubs/copyright_policy/)
  • technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required
  • in other cases, please contact the copyright owner for detailed information

By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.

If you are in doubt, feel free to contact webmaster@ide.mdh.se

Diagnosis of Industrial Equipment using Case-Based Reasoning and Sound Comparison

Authors:

Ella Olsson, Peter Funk

Research group:

Artificial Intelligence and Intelligent Systems

Publication Type:

Conference/Workshop Paper

Venue:

AILS2004

Abstract

production industry quality control is essential. Often testing and calibration are combined and completed when the product meets product speci-fications, such as gearbox performance, payload handling and braking distances (examples from selected application of robot assembly). Mechanical faults of-ten show their presence as deviations compared to a normal sound profile. A manual diagnosis based on sound requires extensive experience. This valuable experience is difficult to preserve and transfer, and often lost if personnel leave an organization. We propose a Case-Based Reasoning approach to collect and preserve experience and enable inexperienced personnel to a make a more reli-able diagnosis based on sound. Sounds from normal and faulty equipment is re-corded and stored in a case library together with a diagnosis. Addition of new validated sound profiles continuously improves the system’s performance. The system preserve and transfer experience between engineers. In a Case-Based Reasoning system, adding cases does not require any training or configuration. The original sound recording can be stored in the case together with other ex-perience, e.g. instructions, additional tests, advice, user feedback etc.

Bibtex

@inproceedings{Olsson590,
author = {Ella Olsson and Peter Funk},
title = {Diagnosis of Industrial Equipment using Case-Based Reasoning and Sound Comparison},
editor = {Jacek Malek},
month = {April},
year = {2004},
booktitle = {AILS2004},
url = {http://www.es.mdu.se/publications/590-}
}