DocumentCode :
2591695
Title :
Estimating Lifetimes for Stator Windings in Hydropower Generators
Author :
Karlsson, Anders ; Karlsson, Thommy
Author_Institution :
SwedPower AB, Alvkarleby
fYear :
2006
fDate :
11-15 June 2006
Firstpage :
1
Lastpage :
8
Abstract :
Today the availability of a hydropower plant is more important than ever. In a high voltage power generator one of the most critical components is the stator winding. The cost of a stator winding breakdown is extensive, both when it comes to restoration and outage in production. However, nobody wants to change the stator winding if it is not necessary. During the last decades intermittent operation has increased, which has lead to greater strains on the stator windings. Combined with the increased need for availability, this means that a good estimation of the lifetime of a stator winding is crucial. In this broad investigation, several methods are presented, such as an algorithm based on Bayesian method, multiple regression analysis, and various diagnostic methods. It has been found that generator design, diagnostic data, and power plant operation all are important parameters when estimating lifetimes, thus must several methods be considered
Keywords :
Bayes methods; costing; hydroelectric generators; hydroelectric power stations; regression analysis; remaining life assessment; stators; Bayesian method; diagnostic methods; hydropower generators; lifetime estimation; multiple regression analysis; power plant operation; production outage; production restoration; stator windings; Capacitive sensors; Costs; Electric breakdown; Hydroelectric power generation; Life estimation; Lifetime estimation; Power generation; Production; Stator windings; Voltage; Ageing; Bayesian methods; PCA; PLS; Sweden; hydroelectric power generation; insulation; lifetimes; multiple regression analysis; stator winding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Probabilistic Methods Applied to Power Systems, 2006. PMAPS 2006. International Conference on
Conference_Location :
Stockholm
Print_ISBN :
978-91-7178-585-5
Type :
conf
DOI :
10.1109/PMAPS.2006.360285
Filename :
4202297
Link To Document :
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