Electrical signature analysis based online monitoring of drive-trains for doubly-fed wind generators

@article{Neti2012ElectricalSA,
  title={Electrical signature analysis based online monitoring of drive-trains for doubly-fed wind generators},
  author={Prabhakar Neti and Pinjia Zhang and M. R. Shah and K. Younsi},
  journal={IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society},
  year={2012},
  pages={1764-1769}
}
Drive train failures are one of the common failure modes of wind turbines. Their early detection, including the generator bearing and gearbox defects, is considered difficult using the state-of-the-art monitoring techniques. In this paper, a novel electrical signature analysis-based drivetrain monitoring technique is proposed for wind turbines. A novel electrical signature tool, electrical multi-phase imbalance separation technique (eMIST), is proposed to improve the signal-to-noise ratio in… CONTINUE READING

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