The paper presents regression functions used for the computation of some electrical generator's parameter, such as efficiency, power or frequency. The considered regression functions can be applied for any type of electrical generator: permanent magnet synchronous (PMSG), squirrel cage asynchronous (IG) or double fed asynchronous (DFIG), etc. The methodology involves the usage of primary measured data. The measurements were performed on different experimental setups and results are used as input data. There are presented several regression functions (of one, two or three variables). There are formulated conclusions regarding the obtained results and their possible usage within automatic control systems/strategies. The study cases were performed by using dedicated software.
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