An online damage identification approach for numerical control machine tools based on data fusion using vibration signals

@inproceedings{Yuqing2015AnOD,
  title={An online damage identification approach for numerical control machine tools based on data fusion using vibration signals},
  author={Zhou Yuqing and Liu Xinfang and Li Fengping and Sun Bingtao and Xue Wei},
  year={2015}
}
In this paper, a new approach is proposed based on data fusing with vibration signals using time-frequency parameters, probabilistic principal component analysis (PPCA) and statistical inference, for improving the accuracy and visibility of damage identification for numerical control (NC) machine tools. Time-frequency feature principal components are put forward, which extracted from eight dimensionless parameters statistically in the time and frequency domains by PPCA. The Chi-2 statistic is… CONTINUE READING