Study on fault detection using wavelet packet and SOM neural network

@article{Tao2012StudyOF,
  title={Study on fault detection using wavelet packet and SOM neural network},
  author={Xiaochuang Tao and Zili Wang and Jian Ma and Huanzhen Fan},
  journal={Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing)},
  year={2012},
  pages={1-5}
}
Successful fault detection is based on effective feature exaction and selection processes. Feature map is one of the current fault diagnosis methods. By continuously tracking the trajectories, degradation trend in feature space can be detected. The challenge is how to construct a feature space that can consistently exhibit the degradation pattern. Self Organizing Map (SOM) neural network can map any high-dimensional input into a low-dimensional space, remaining its original topological… CONTINUE READING