Signal processing for tool condition monitoring: from wavelet analysis to sparse decomposition
Zhu Kunpeng, Wong Yoke San and Hong Geok Soon
Abstract:
Signal processing plays an important role in manufacturing automation and industrial control. In CNC machining, by utilising the monitored information from the platform to direct the further actions, the signal processing bridges the gap of human instruction and full automation. One of the main problems related to CNC machining productivity and safety is the tool conditions. Effective signal processing techniques are prerequisite for tool condition monitoring (TCM). Fourier transform is the basis of modern signal processing and has been the main signal processing method. It associates the ...
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