Machine ensemble approach for simultaneous detection of transient and gradual abnormalities in end milling using multisensor fusion
- 6 December 2008
- journal article
- Published by Elsevier BV in Journal of the American Academy of Dermatology
- Vol. 209 (10), 4728-4738
- https://doi.org/10.1016/j.jmatprotec.2008.11.038
Abstract
No abstract availableKeywords
This publication has 16 references indexed in Scilit:
- Study of a sensor platform for monitoring machining of aluminium and steelMeasurement Science and Technology, 2007
- A sophisticated platform for characterization, monitoring and control of machiningMeasurement Science and Technology, 2006
- Estimation of tool wear during CNC milling using neural network-based sensor fusionMechanical Systems and Signal Processing, 2006
- Tool breakage detection using support vector machine learning in a milling processInternational Journal of Machine Tools and Manufacture, 2004
- An overview of statistical learning theoryIEEE Transactions on Neural Networks, 1999
- On combining classifiersIeee Transactions On Pattern Analysis and Machine Intelligence, 1998
- Wrappers for feature subset selectionArtificial Intelligence, 1997
- Detection of tool breakage in milling operations—II. The neural network approachInternational Journal of Machine Tools and Manufacture, 1993
- Stacked generalizationNeural Networks, 1992
- Tool wear and failure monitoring techniques for turning—A reviewInternational Journal of Machine Tools and Manufacture, 1990