Towards online bearing fault detection using envelope analysis of vibration signal and decision tree classification algorithm

@article{Senanayaka2017TowardsOB,
  title={Towards online bearing fault detection using envelope analysis of vibration signal and decision tree classification algorithm},
  author={Jagath Sri Lal Senanayaka and Huynh Van Khang and Kjell G. Robbersmyr},
  journal={2017 20th International Conference on Electrical Machines and Systems (ICEMS)},
  year={2017},
  pages={1-6}
}
Online bearing fault detection is an important method for monitoring the health status of bearings in critical machines. This work proposes a classification algorithm, which can be extended towards an online bearing fault detection. The objective is to detect and classify the bearing faults in early stages. The overall design aspects of the online bearing… CONTINUE READING