참고문헌 (17)

1. Computer Integrated Manufacturing System Fei 23 1 1 2017 Digital twin workshop: a new paradigm for future workshop[J] 

2. Computer Integrated Manufacturing Systems Fei 24 1 1 2018 Digital twin and its potential application exploration[J] 

3. Annual Reviews in Control Tidriri 42 63 2016 10.1016/j.arcontrol.2016.09.008 Bridging data-driven and model-based approaches for process fault diagnosis and health monitoring: A review of researches and future challenges[J] 

   상세보기

4. International Journal of Electrical Power & Energy Systems Yongxin 116 105566 2020 10.1016/j.ijepes.2019.105566 A data-driven approach for fault time determination and fault area location using random matrix theory[J] 

   상세보기

5. IEEE Transactions on Industrial Electronics Lei 63 5 3137 2016 10.1109/TIE.2016.2519325 An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data[J] 

   상세보기

6. IEEE Transactions on Industrial Electronics Shatnawi 61 3 1434 2014 10.1109/TIE.2013.2261033 Fault diagnosis in internal combustion engines using extension neural network[J] 

   상세보기

7. Mnih A, Hinton G E. A scalable hierarchical distributed language model[C]. Advances in Neural Information Processing Systems 21. Proceedings of the 22th Annual Conference on Neural Information Processing Systems 2008. New York, N. Y., USA: Curran Associates, Inc., 2008:1081-1088. 

8. Communications of the ACM Krizhevsky 60 6 84 2017 10.1145/3065386 ImageNet Classification with Deep Convolutional Neural Networks[J] 

   상세보기

9. 10.1109/ICASSP.2013.6638947 Graves A, Mohamed A R, Hinton G. Speech recognition with deep recurrent neural network[C]. Proceedings of 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing. Washington, D. C.,USA:IEEE, 2014:6645-6649. 

   

10. Nature LeCun 521 436 2015 10.1038/nature14539 Deep learning[J] 

    상세보기

11. International Journal of Computer Integrated Manufacturing Nikolakis 32 1 1 2019 10.1080/0951192X.2018.1529430 The digital twin implementation for linking the virtual representation of human-based production tasks to their physical counterpart in the factory-floor[J] 

    상세보기

12. 10.1162/neco.1997.9.8.1735 S. Hochreiter, J. Schmidhuber. Long short-term memory[J]. Neural Computation, 9 (8): 1735-1780. 

    상세보기

13. 10.1007/978-981-10-6502-6_7 JAM. Kamarudin, A. Abdullah. A review of deep learning architectures and their application[J]. Modeling, Design and Simulation of Systems, AsiaSim 2017: 893-94. 

    

14. Neurocomputing Guo 240 98 2017 10.1016/j.neucom.2017.02.045 A recurrent neural network based health indicator for remaining useful life prediction of bearings[J] 

    상세보기

15. Information Science Al Rahhal 345 340 2016 10.1016/j.ins.2016.01.082 Deep learning approach for active classification of electrocardiogram signals[J] 

    상세보기

16. Karagiannis 2013 Prediction of surface roughness magnitude in computer numerical controlled end milling processes using neural networks, by considering a set of influence parameters: An aluminum alloy 5083 case study[J] 

17. Journal of Tongji University(Natural Science) Nan 44 3 434 2016 Tool wear condition monitoring based on Principal Component Analysis and C-Support Vector Machine[J]