• Corpus ID: 62985907

WaveletFCNN: A Deep Time Series Classification Model for Wind Turbine Blade Icing Detection

@article{Yuan2019WaveletFCNNAD,
  title={WaveletFCNN: A Deep Time Series Classification Model for Wind Turbine Blade Icing Detection},
  author={Binhang Yuan and Chen Wang and Fei Jiang and Mingsheng Long and Philip S. Yu and Yuan Liu},
  journal={ArXiv},
  year={2019},
  volume={abs/1902.05625}
}
Wind power, as an alternative to burning fossil fuels, is plentiful and renewable. Data-driven approaches are increasingly popular for inspecting the wind turbine failures. In this paper, we propose a novel classification-based anomaly detection system for icing detection of the wind turbine blades. We effectively combine the deep neural networks and wavelet transformation to identify such failures sequentially across the time. In the training phase, we present a wavelet based fully… 
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