Sensor signals for tool-wear monitoring in metal cutting operations—a review of methods

By D. E. D. Snr. 2000

725 citations recorded by the source corpus.

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Tool condition monitoring techniques in milling process — a review (2020, methodology): “A number of factors have obstructed the progress in the development of TCMs including improper selection of sensors and their operation [1].”
Tool condition monitoring based on numerous signal features (2011, methodology): “Various methods for tool wear monitoring have been developed, most often based on cutting forces, acoustic emission (AE), and vibrations [2, 6 , 7]. The sensor signal has to be transformed into features that could describe the signal adequately while simultaneously maintaining the relevant informat”
The Correlation of Vibration Signal Features to Cutting Tool Wear in a Metal Turning Operation (2002, background): “Several investigations have been carried out to correlate vibration signals to tool wear [ 5 ,6].”