Predictive Maintenance of Machine Health by S-NODE Using AR
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8346-9_27
Reference15 articles.
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3. Zhang W, Yang D, Wang H (2019) Data-driven methods for predictive maintenance of industrial equipment: a survey. IEEE Syst J 13(3):2213–2227
4. Erkoyuncu J, Khan S (2020) Olfactory-based augmented reality support for industrial maintenance. IEEE Access 8:30306–30321
5. Liu C, Zhu H, Tang D, Nie Q, Zhou T, Wang L, Song Y (2022) Probing an intelligent predictive maintenance approach with deep learning and augmented reality for machine tools in IoT-enabled manufacturing. Rob Comput-Integr Manuf 77:102357
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