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• W2167116822 abstract "The authors present an evaluation of the performance of the maximum likelihood (ML) method when used to estimate the linear parameters of a synchronous machine model from the standstill time-domain flux decay test data. It is shown that a unique set of parameters can be obtained and the noise effects can be dealt with effectively when the ML estimation technique is used. The results of study also show that accurate machine parameters can be identified even when signal-to-noise ratio is as low as 200:1. >" @default.
• W2167116822 created "2016-06-24" @default.
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• W2167116822 date "2002-12-04" @default.
• W2167116822 modified "2023-09-22" @default.
• W2167116822 title "Identification of parameters of an AC machine from standstill time domain data" @default.
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• W2167116822 doi "https://doi.org/10.1109/eait.1990.205484" @default.
• W2167116822 hasPublicationYear "2002" @default.
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