System and method for model based turbine shaft power predictor

    公开(公告)号:US10033316B2

    公开(公告)日:2018-07-24

    申请号:US15282005

    申请日:2016-09-30

    Abstract: In an embodiment, a control system includes a processor. The processor is configured to receive signals from one or more sensors disposed in a gas turbine system, wherein the gas turbine system comprises a shaft mechanically coupled to an electric generator. The processor is further configured to predict a derived mechanical power for the shaft based on the signals. The processor is additionally configured to derive a power adjustment by executing at least one model. The processor is also configured to derive a corrected mechanical power by applying the power adjustment to the derived mechanical power; and to control the gas turbine system based on the corrected mechanical power.

    Systems and methods for determining rotor deterioration in a dynamoelectric machine

    公开(公告)号:US10914701B2

    公开(公告)日:2021-02-09

    申请号:US15626708

    申请日:2017-06-19

    Abstract: Embodiments of the disclosure are directed at determining rotor deterioration in a dynamoelectric machine. Various current and voltage measurements are carried out upon an exciter assembly when the dynamoelectric machine is operated at various speeds and at various occasions over an extended period of time. More particularly, a set of current and voltage measurements that are carried out when the dynamoelectric machine is in a slow-roll mode of operation can be used for determining a resistance of a current path through which the exciter assembly provides electrical power to a rotor assembly. A time-domain-to-frequency-domain conversion can be carried out upon this set of resistance measurements in order to generate a spectral signature. The spectral signature can then be evaluated to detect an altered rotor resistance condition and/or a rotor resistance alteration trend.

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