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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.

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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:
Contribution to Conference (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:
/dk/atira/pure/researchoutput/libraryofcongress/tk
Subjects:
Departments:
Faculty of Science and Technology > Engineering
ID Code:
40826
Deposited By:
Dr Xiandong Ma
Deposited On:
24 May 2011 12:36
Refereed?:
Yes
Published?:
Published
Last Modified:
22 Nov 2022 13:40
URI:
https://eprints.lancs.ac.uk/id/eprint/40826

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