In three of four turning setups, kNN with DTW distances on raw acceleration signals matched or beat wavelet, EEMD, and topological feature classifiers for chatter detection.
Online chatter detection of the end milling based on wavelet packet transform and support vector machine recursive feature elimination,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SP 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping
In three of four turning setups, kNN with DTW distances on raw acceleration signals matched or beat wavelet, EEMD, and topological feature classifiers for chatter detection.