Journal
PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON DYNAMICS AND VIBROACOUSTICS OF MACHINES (DVM2016)
Volume 176, Issue -, Pages 246-252Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.proeng.2017.02.294
Keywords
acoustic emission; tool wear; nonstationary system; adaptive system; wavelet transform; CWT
Funding
- Ministry of Education and Science of the Russian Federation implementation of the Program Research and development on priority directions of scientific-technological complex of Russia
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In this paper, a tool wear diagnostic system based on the information contained in the signal of acoustic emission (AE) is considered. In the process, experiments on milling of steel billets 1035 were carried out, with the reference values of cutting force being dynamically monitored with the help of a Kistler 9257B multi-component dynamometer. Registration of the AE signal is performed by an LTR22 modular data acquisition system equipped with an OKTAFON 110 sensor. The method of useful signal filtering from the entire spectrum of AE is carried out using wavelet decomposition. Detection of necessary time periods from the decomposed milling AE signal is suggested for further analysis based on Fourier analysis. (C) 2016 The Authors. Published by Elsevier Ltd.
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