Deep Anomaly Detection for CNC Machine Cutting Tool Using Spindle Current Signals

Analysis of cutting force signals by wavelet packet transform for surface roughness monitoring in CNC turning

(2018) E. García Plaza et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Sequential spindle current-based tool condition monitoring with support vector classifier for milling process

(2017) Xiankun Lin et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Study of spindle power data with neural network for predicting real-time tool wear/breakage during inconel drilling

(2017) Raphael Corne et al.   JOURNAL OF MANUFACTURING SYSTEMS

A method based on spindle motor current harmonic distortion measurements for tool wear monitoring

(2017) A. Akbari et al.   Journal of the Brazilian Society of Mechanical Sciences and Engineering

Detection of chipping in ceramic cutting inserts from workpiece profile during turning using fast Fourier transform (FFT) and continuous wavelet transform (CWT)

(2017) W.K. Lee et al.   PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY

Anomaly detection

(2009) Varun Chandola et al.   ACM COMPUTING SURVEYS

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING