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Online intelligent condition monitoring of electrical machines.

Ma, Xiandong (2011) Online intelligent condition monitoring of electrical machines. In: The 24th International Congress on Condition Monitoring and Diagnostics Engineering Management (COMADEM2011), 2011-05-302011-06-01, Stavanger, Norway.

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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.

Item Type: Conference or Workshop Item (Paper)
Journal or Publication Title: The 24th International Congress on Condition Monitoring and Diagnostics Engineering Management (COMADEM2011)
Additional Information: Conference name: The 24th International Congress on Condition Monitoring and Diagnostics Engineering Management (COMADEM2011), Stavanger, Norway, 30th May - 1st June 2011
Uncontrolled Keywords: System identification ; artificial neural network (ANN) ; condition monitoring ; generator ; power plant
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments: Faculty of Science and Technology > Engineering
ID Code: 40826
Deposited By: Dr Xiandong Ma
Deposited On: 24 May 2011 13:36
Refereed?: Yes
Published?: Published
Last Modified: 24 Jan 2014 06:15
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/40826

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