Tool health monitoring using airborne acoustic emission and a PSO-optimized neural network

Zafar, T, Kamal, K, Kumar, R, Sheikh, Z, Mathavan, S ORCID logoORCID: https://orcid.org/0000-0001-7003-2874 and Ali, U, 2015. Tool health monitoring using airborne acoustic emission and a PSO-optimized neural network. In: Jędrzejowicz, P, Nguyen, NT, Hong, T-P and Czarnowski, I, eds., Proceedings of the 2015 IEEE 2nd International Conference on Cybernetics (CYBCONF), Gdynia, Poland, 24-26 June. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), pp. 271-276. ISBN 9781479983223

Full text not available from this repository.
Item Type: Chapter in book
Creators: Zafar, T., Kamal, K., Kumar, R., Sheikh, Z., Mathavan, S. and Ali, U.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Place of Publication: Piscataway, NJ
Date: 2015
ISBN: 9781479983223
Identifiers:
Number
Type
10.1109/CYBConf.2015.7175945
DOI
Divisions: Schools > School of Architecture, Design and the Built Environment
Record created by: Linda Sullivan
Date Added: 25 Oct 2017 14:44
Last Modified: 25 Oct 2017 14:46
URI: https://irep.ntu.ac.uk/id/eprint/31881

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