Lifetime Prediction for Hydro Generators
This 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 th...
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ftaaltouniv:oai:aaltodoc.aalto.fi:123456789/93072 2023-05-15T16:50:30+02:00 Lifetime Prediction for Hydro Generators Vesivoimageneraattorin eliniän arviointi Gíslason, Jens Kristinn Knútsson, Valur Teknillinen korkeakoulu Helsinki University of Technology Sähkö- ja tietoliikennetekniikan osasto Arkkio, Antero Aalto-yliopisto Aalto University 2005 https://aaltodoc.aalto.fi/handle/123456789/93072 en eng https://aaltodoc.aalto.fi/handle/123456789/93072 URN:NBN:fi:aalto-2020120451907 closedAccess lifetime prediction hydro generators insulation aging failure diagnosis Arrhenius equation eliniän arviointi vesivoimageneraattori eristys ikääntyminen vikadiagnostiikka Arrheniuksen yhtälö Master's thesis Pro gradu -tutkielma masterThesis G2 Pro gradu, diplomityö 2005 ftaaltouniv 2022-12-15T19:30:09Z This 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. Master Thesis Iceland Aalto University Publication Archive (Aaltodoc) |
institution |
Open Polar |
collection |
Aalto University Publication Archive (Aaltodoc) |
op_collection_id |
ftaaltouniv |
language |
English |
topic |
lifetime prediction hydro generators insulation aging failure diagnosis Arrhenius equation eliniän arviointi vesivoimageneraattori eristys ikääntyminen vikadiagnostiikka Arrheniuksen yhtälö |
spellingShingle |
lifetime prediction hydro generators insulation aging failure diagnosis Arrhenius equation eliniän arviointi vesivoimageneraattori eristys ikääntyminen vikadiagnostiikka Arrheniuksen yhtälö Gíslason, Jens Kristinn Lifetime Prediction for Hydro Generators |
topic_facet |
lifetime prediction hydro generators insulation aging failure diagnosis Arrhenius equation eliniän arviointi vesivoimageneraattori eristys ikääntyminen vikadiagnostiikka Arrheniuksen yhtälö |
description |
This 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. |
author2 |
Knútsson, Valur Teknillinen korkeakoulu Helsinki University of Technology Sähkö- ja tietoliikennetekniikan osasto Arkkio, Antero Aalto-yliopisto Aalto University |
format |
Master Thesis |
author |
Gíslason, Jens Kristinn |
author_facet |
Gíslason, Jens Kristinn |
author_sort |
Gíslason, Jens Kristinn |
title |
Lifetime Prediction for Hydro Generators |
title_short |
Lifetime Prediction for Hydro Generators |
title_full |
Lifetime Prediction for Hydro Generators |
title_fullStr |
Lifetime Prediction for Hydro Generators |
title_full_unstemmed |
Lifetime Prediction for Hydro Generators |
title_sort |
lifetime prediction for hydro generators |
publishDate |
2005 |
url |
https://aaltodoc.aalto.fi/handle/123456789/93072 |
genre |
Iceland |
genre_facet |
Iceland |
op_relation |
https://aaltodoc.aalto.fi/handle/123456789/93072 URN:NBN:fi:aalto-2020120451907 |
op_rights |
closedAccess |
_version_ |
1766040645102731264 |