The Study of Application of Artifical Neural Network on Failure-Mode-Recognition and Loss-Degree-Predition
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    Abstract:

    Using a conclusion of time-constant-attenuation after loss-of-excitaion only decided by generator parameters and failure-modes, the paper according to the classify of loss-of-excitation faults, adopts a three-lay feed-forward neural network to obtain“Tq”,Which makes microcomputer-based Loss-of-Excitation protection in the twinking of fault happening failure-mode-recognition and loss-degree-prediction. Figure simulating, trend imitate testing and action moving proved that the method raised is correct.

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Liu Yijiang, Yi Ligang. The Study of Application of Artifical Neural Network on Failure-Mode-Recognition and Loss-Degree-Predition[J]. Journal of National University of Defense Technology,1999,21(4):125-128.

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History
  • Received:April 30,1999
  • Revised:
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  • Online: November 18,2013
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