University of Oulu

Karioja, Konsta (2017) Methods for automatic condition monitoring. In Proceedings of the First World Congress on Condition Monitoring (2017), 13-16 June 2017, ILEC Conference Centre, London, UK

Methods for automatic condition monitoring

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Author: Karioja, Konsta1
Organizations: 1Mechatronics and machine diagnostics, Faculty of technology, P.O. Box 4200, FI-90014 University of Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.5 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe201708118086
Language: English
Published: British Institute of NDT, 2017
Publish Date: 2017-08-11
Description:

Abstract

Reliable condition monitoring is crucial to successful maintenance operations in many industrial cases but adequate manpower and expertise to conduct proper monitoring is not always available. Suitable signal processing technologies can provide a considerable relief to this matter. Intelligent and adaptive systems can at their best detect the faults or even determine type and severity of the fault. Nowadays high-end technology for automatic monitoring is generally available at reasonable price, but many advanced methods are yet to be put into action. This paper discusses several methods which could relatively easily be built in to modern condition monitoring systems.

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ISBN: 978-0-903132-64-8
Pages: - - -
Host publication: Proceedings of the First World Congress on Condition Monitoring (2017) 13-16 June 2017, ILEC Conference Centre, London, UK
Conference: World Congress on Condition Monitoring
Field of Science: 214 Mechanical engineering
Subjects:
Copyright information: © British Institute of NDT. Published in this repository with the kind permission of the publisher.