Real-Time Diagnosis and Forecasting Algorithms of the Tool Wear in the CNC Systems-Reference-Cited by-同舟云学术

Real-Time Diagnosis and Forecasting Algorithms of the Tool Wear in the CNC Systems

Published:2015 Issue: Volume: Page:115-126
ISSN:0302-9743
Container-title:Advances in Swarm and Computational Intelligence
language:
Short-container-title:

Author:

Martinov Georgi M.,Grigoryev Anton S.,Nikishechkin Petr A.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-20469-7_14

Reference16 articles.

1. Grigoriev, S.N., Martinov, G.M.: Scalable open cross-platform kernel of PCNC system for multi-axis machine tool. Procedia CIRP 1, 238–243 (2012)

2. Martinov, G.M., Ljubimov, A.B., Grigoriev, A.S., Martinova, L.I.: Multifunction numerical control solution for hybrid mechanic and laser machine tool. Procedia CIRP 1, 277–281 (2012)

3. Kozochkin, M.P., Sabirov, F.S.: Realtime diagnostics in metalworking, Vestn. MGTU Stankin 3, 14–18 (2008)

4. Grigoriev, S.N., Martinov, G.M.: Decentralized CNC automation system for large machine tools. In: Proc. of COMA 13, International Conference on Competitive Manufacturing, Stellenbosch (South Africa), pp. 295–300 (2013). ISBN: 978-0-7972-1405-7

5. Nikishechkin, P.A., Grigoriev, A.S.: Practical aspects of the development of the module diagnosis and monitoring of cutting tools in the CNC. Vest. MGTU Stankin 4, 65–70 (2013)

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