dc.contributor.author | Srinivasan, S. | |
dc.contributor.author | Kanagasabapathy, P. | |
dc.contributor.author | Selvaganesan, N. | |
dc.date.accessioned | 2011-02-03T09:19:47Z | |
dc.date.available | 2011-02-03T09:19:47Z | |
dc.date.issued | 2007 | |
dc.identifier.citation | Advances in electrical and electronic engineering. 2007, vol. 6, no. 1, p. 19-25. | en |
dc.identifier.issn | 1336-1376 | |
dc.identifier.uri | http://hdl.handle.net/10084/83859 | |
dc.description.abstract | In this paper a fuzzy logic based fault diagnosis system for a deaerator in a power plant unit is presented. The
system parameters are obtained using the linearised state space deaerator model. The fuzzy inference system is created and
rule base are evaluated relating the parameters to the type and severity of the faults. These rules are fired for specific changes
in system parameters and the faults are diagnosed. | en |
dc.format.extent | 165286 bytes | cs |
dc.format.mimetype | application/pdf | cs |
dc.language.iso | en | en |
dc.publisher | Žilinská univerzita v Žiline. Elektrotechnická fakulta | en |
dc.relation.ispartofseries | Advances in electrical and electronic engineering | en |
dc.relation.uri | http://advances.utc.sk/index.php/AEEE | en |
dc.rights | Creative Commons Attribution 3.0 Unported (CC BY 3.0) | |
dc.rights | © Žilinská univerzita v Žiline. Elektrotechnická fakulta | |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/ | |
dc.title | Fault diagnosis in deaerator using fuzzy logic | en |
dc.type | article | en |
dc.rights.access | openAccess | |
dc.type.version | publishedVersion | cs |
dc.type.status | Peer-reviewed | cs |