Modelling and prediction of tool wear using LS-SVM in milling operation
Author:
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Aerospace Engineering
Link
http://www.tandfonline.com/doi/pdf/10.1080/0951192X.2014.1003408
Reference22 articles.
1. Cutting force-based real-time estimation of tool wear in face milling using a combination of signal processing techniques
2. Tool wear estimation using an analytic fuzzy classifier and support vector machines
3. On-line tool wear monitoring using geometric descriptors from digital images
4. An artificial-neural-networks-based in-process tool wear prediction system in milling operations
5. Development of a tool wear observer model for online tool condition monitoring and control in machining nickel-based alloys
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