Lifetime Prediction for Hydro Generators

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.advisorKnútsson, Valur
dc.contributor.authorGíslason, Jens Kristinn
dc.contributor.departmentSähkö- ja tietoliikennetekniikan osastofi
dc.contributor.schoolTeknillinen korkeakoulufi
dc.contributor.schoolHelsinki University of Technologyen
dc.contributor.supervisorArkkio, Antero
dc.date.accessioned2020-12-04T19:46:19Z
dc.date.available2020-12-04T19:46:19Z
dc.date.issued2005
dc.description.abstractThis thesis concerns lifetime prediction of hydro generators and how different operational and environmental factors affect the lifetime. A method for predicting the remaining lifetime, using information on it's design, operational history and condition, is introduced and tested. Determining the condition of the stator winding and core insulation systems is vital for any attempt to lifetime prediction for hydro generators. Information on the condition can be obtained by visual inspection, diagnostic measurements and condition monitoring methods. A method to predict the remaining lifetime of hydro generators considering the statements above is explained. The method is used to predict the remaining lifetime for two generators in Steingrimsstöd hydro station in Iceland. Only information from 1995 and older is used in the prediction. In this way the predicted lifetime can be compared to the real experience of the generators. The results show that the lifetime prediction for the test specimens does not match the reality accurately. The method does however determine the insulation condition and diagnose the failure modes correctly. The exact time of failure is not only governed by the machine condition but other unpredictable factors as well.en
dc.format.extent60
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/93072
dc.identifier.urnURN:NBN:fi:aalto-2020120451907
dc.language.isoenen
dc.programme.majorSähkömekaniikkafi
dc.programme.mcodeS-17fi
dc.rights.accesslevelclosedAccess
dc.subject.keywordlifetime predictionen
dc.subject.keywordeliniän arviointifi
dc.subject.keywordhydro generatorsen
dc.subject.keywordvesivoimageneraattorifi
dc.subject.keywordinsulation agingen
dc.subject.keyworderistysfi
dc.subject.keywordfailure diagnosisen
dc.subject.keywordikääntyminenfi
dc.subject.keywordArrhenius equationen
dc.subject.keywordvikadiagnostiikkafi
dc.subject.keywordArrheniuksen yhtälöfi
dc.titleLifetime Prediction for Hydro Generatorsen
dc.titleVesivoimageneraattorin eliniän arviointifi
dc.type.okmG2 Pro gradu, diplomityö
dc.type.ontasotMaster's thesisen
dc.type.ontasotPro gradu -tutkielmafi
dc.type.publicationmasterThesis
local.aalto.digiauthask
local.aalto.digifolderAalto_32803
local.aalto.idinssi30032
local.aalto.openaccessno

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