Failures Prediction in the Cold Forging Process Using Machine Learning Methods-Reference-Cited by-同舟云学术

Failures Prediction in the Cold Forging Process Using Machine Learning Methods

Published:2014 Issue: Volume: Page:622-633
ISSN:0302-9743
Container-title:Artificial Intelligence and Soft Computing
language:
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Author:

Żabiński Tomasz,Mączka Tomasz,Kluska Jacek,Kusy Maciej,Hajduk Zbigniew,Prucnal Sławomir

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-07173-2_53

Reference17 articles.

1. Gaweł Zakład Produkcji Śrub, http://www.gzps.pl/

2. Mączka, T., Żabiński, T., Kluska, J.: Computational Intelligence application in fasteners manufacturing. In: Proceedings of 13th IEEE International Symposium on Computational Intelligence and Informatics (CINTI), Budapest, pp. 335–340 (2012)

3. AISC;T. Żabiński,2012

4. Mączka, T., Żabiński, T.: Platform for Intelligent Manufacturing Systems with elements of knowledge discovery. In: Manufacturing System, pp. 183–204. InTech, Croatia (2012)

5. Kong, L.X., Nahavandi, S.: On-line tool condition monitoring and control system in forging process. Journal of Materials Processing Technology 125-126, 464–470 (2002)

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