Abstract
This paper describes the systematic development of a signal processing scheme aimed at monitoring tool wear development during a specific machining process. Classical processing schemes in the time and frequency domain are first used in order to obtain general signal characteristics. A signal generation model, using the concept of cyclostationary processes is then developed. A final processing scheme is then matched to extract specific features from the signal. Both the systematic approach, as well as the finally implemented scheme seem to offer viable approaches to the general task of monitoring high frequency vibrations in machine tools.
Full Text
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call