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1 Ergebnisse
1
Tool Wear Predicting Based on Multisensory Raw Signals Fusi..:
Zhiwen Huang
;
Jianmin Zhu
;
Jingtao Lei
..
https://ieeexplore.ieee.org/document/8928491/. , 2019
Link:
https://doi.org/10.1109/ACCESS.2019.2958330
RT Journal T1
Tool Wear Predicting Based on Multisensory Raw Signals Fusion by Reshaped Time Series Convolutional Neural Network in Manufacturing
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:d9906f75fe0d4c8182a34c703faf1488&Exemplar=1&LAN=DE A1 Zhiwen Huang A1 Jianmin Zhu A1 Jingtao Lei A1 Xiaoru Li A1 Fengqing Tian PB IEEE YR 2019 K1 Tool wear predicting K1 multi-sensor K1 raw signals K1 convolutional neural network K1 reshaped time series K1 manufacturing K1 Electrical engineering. Electronics. Nuclear engineering K1 TK1-9971 JF https://ieeexplore.ieee.org/document/8928491/ LK http://dx.doi.org/https://doi.org/10.1109/ACCESS.2019.2958330 DO https://doi.org/10.1109/ACCESS.2019.2958330 SF ELIB - SuUB Bremen
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