Identification of Milling Status Using Vibration Feature Extraction Techniques and Support Vector Machine Classifier

Identification of Milling Status Using Vibration Feature Extraction Techniques and Support Vector Machine Classifier

The objective of this study is to use the vibration signal features of spindles during the cutting processing to identify the different milling statuses in cases of diverse tooling parameter combinations. Accelerometers were placed on a spindle to measure vibration behaviors, and the milling status...

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Bibliographic Details
Main Authors: Che-Yuan Chang, Tian-Yau Wu
Format: Article
Language:English
Published: MDPI AG 2018-04-01
Series:Inventions
Subjects:
milling status identification
multi-scale entropy
empirical mode decomposition
Fisher score
support vector machine
Online Access:http://www.mdpi.com/2411-5134/3/2/25

Internet

http://www.mdpi.com/2411-5134/3/2/25

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