Change search
ReferencesLink to record
Permanent link

Direct link
Case-based reasoning combined with statistics for diagnostics and prognosis
Number of Authors: 2
2012 (English)In: Journal of Physics: Conference Series, 2012, 10, Vol. 364, 0-0 p.Conference paper (Refereed)
Abstract [en]

Many approaches used for diagnostics today are based on a precise model. This excludes diagnostics of many complex types of machinery that cannot be modelled and simulated easily or without great effort. Our aim is to show that by including human experience it is possible to diagnose complex machinery when there is no or limited models or simulations available. This also enables diagnostics in a dynamic application where conditions change and new cases are often added. In fact every new solved case increases the diagnostic power of the system. We present a number of successful projects where we have used feature extraction together with case-based reasoning to diagnose faults in industrial robots, welding, cutting machinery and we also present our latest project for diagnosing transmissions by combining Case-Based Reasoning (CBR) with statistics. We view the fault diagnosis process as three consecutive steps. In the first step, sensor fault signals from machines and/or input from human operators are collected. Then, the second step consists of extracting relevant fault features. In the final diagnosis/prognosis step, status and faults are identified and classified. We view prognosis as a special case of diagnosis where the prognosis module predicts a stream of future features.

Place, publisher, year, edition, pages
2012, 10. Vol. 364, 0-0 p.
National Category
Computer and Information Science
URN: urn:nbn:se:ri:diva-15232DOI: 10.1088/1742-6596/364/1/012061OAI: diva2:1036548
25th International Congress on Condition Monitoring and Diagnostic Engineering (COMADEM 2012)
Available from: 2016-10-13 Created: 2016-10-13

Open Access in DiVA

fulltext(1012 kB)4 downloads
File information
File name FULLTEXT01.pdfFile size 1012 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links

Publisher's full texthttp

Search in DiVA

By author/editor
Olsson, TomasFunk, Peter
By organisation
Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 4 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

ReferencesLink to record
Permanent link

Direct link