Enhancing Spindle Power Data Application with Neural Network for Real-time Tool Wear/Breakage Prediction During Inconel Drilling-Reference-Cited by-同舟云学术

Enhancing Spindle Power Data Application with Neural Network for Real-time Tool Wear/Breakage Prediction During Inconel Drilling

Published:2016 Issue: Volume:5 Page:1-14
ISSN:2351-9789
Container-title:Procedia Manufacturing
language:en
Short-container-title:Procedia Manufacturing

Author:

Corne Raphael,Nath Chandra,Mansori Mohamed El,Kurfess Thomas

Publisher

Elsevier BV

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering

Reference36 articles.

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3. Coolen A. A Beginner's Guide to the Mathematics of Neural Networks. King's College London. 1998.

4. Carlisle D. Graphicx: Enhanced support for graphics. http://www.ctan.org/tex-archive/help/Catalogue/entries/graphicx.html. 2010. (Published online April 2010).

5. Coromant S. Metalcutting Technical Guide: Turning, Milling, Drilling, Boring, Toolholding. 2005.

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