期刊
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
卷 108, 期 -, 页码 106-112出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.ijmachtools.2016.06.002
关键词
Chatter detection; Variational mode decomposition; Wavelet packet decomposition; Energy entropy; Cutting force
资金
- National Key Basic Research Program of China [2014CB046603]
This paper presents a novel approach to detect the milling chatter based on energy entropy. By using variational mode decomposition and wavelet packet decomposition, the cutting force signal is decomposed into two group of sub-signals respectively, and each component has limited bandwidth in spectral domain. Since milling chatter is characterized by the change of frequency and energy distribution. Therefore the energy features extracted from the two group of sub-signals are considered and the energy entropies are obtained, which can be utilized to demonstrate the condition of the milling system synthetically. Several milling tests are conducted and the results show that the proposed method can effectively detect the chatter at an early stage. (C) 2016 Elsevier Ltd. All rights reserved.
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