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Online intelligent condition monitoring of electrical machines.

Research output: Contribution to conferenceConference paper

Published

Publication date05/2011
Number of pages6
Pages223-228
Original languageEnglish

Conference

ConferenceThe 24th International Congress on Condition Monitoring and Diagnostics Engineering Management (COMADEM2011)
CityStavanger, Norway
Period30/05/111/06/11

Abstract

Condition monitoring needs smart technologies to diagnose faults and prognose failures, which this paper will investigate. The paper starts with the description of the fundamentals of system identification and neural network approaches. The proposed models will be tested and validated with measurement data. Issues related specially to continuous online monitoring will be addressed for these models. The work demonstrates that the proposed techniques can be potentially applied to online condition monitoring and therefore health assessment of power plant generators.

Bibliographic note

Conference name: The 24th International Congress on Condition Monitoring and Diagnostics Engineering Management (COMADEM2011), Stavanger, Norway, 30th May - 1st June 2011