A comparative analysis of classical and one class SVM classifiers for machine fault detection using vibration signals

@article{Amir2016ACA,
  title={A comparative analysis of classical and one class SVM classifiers for machine fault detection using vibration signals},
  author={Rummaan Bin Amir and Sufi Tabassum Gul and Abdul Qayyum Khan},
  journal={2016 International Conference on Emerging Technologies (ICET)},
  year={2016},
  pages={1-6}
}
Early and efficient fault detection is very important in today's complex and sophisticated automated industry. For fault detection, many techniques have been employed among which the support vector machines (SVM) is a popular one owing to its many attractive features like fast classification, good handling capability of non-linear behavior of the data, and… CONTINUE READING