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Tool Wear Monitoring in Milling Processes Based on Time-Frequency Analysis of Acoustic Emission
- Source :
- Applied Mechanics and Materials. 141:574-577
- Publication Year :
- 2011
- Publisher :
- Trans Tech Publications, Ltd., 2011.
-
Abstract
- Tool wear monitoring plays an important role in the automatic machining processes. Therefore, it is necessary to establish a reliable method to predict tool wear status. In this paper, features of acoustic emission (AE) extracted from time-frequency domain are integrated with force features to indicate the status of tool wear. Meanwhile, a support vector machine (SVM) model is employed to distinguish the tool wear status. The result of the classification of different tool wear status proved that features extracted from time-frequency domain can be the recognize-features of high recognition precision.
Details
- ISSN :
- 16627482
- Volume :
- 141
- Database :
- OpenAIRE
- Journal :
- Applied Mechanics and Materials
- Accession number :
- edsair.doi...........b170fdb8e0afb1f6c922aae13c38d434