Design and Hardware Implementation of an Intelligent Industrial IoT Edge Device for Bearing Monitoring and Fault Diagnosis
Author:
Funder
Direction Générale de la Recherche Scientifique et du Développement Technologique
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-023-08268-9.pdf
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2. Aheleroff, S.; Xu, X.; Lu, Y.; Aristizabal, M.; PabloVelásquez, J.; Joa, B.; Valencia, Y.: IoT-enabled smart appliances under industry 4.0: a case study. Adv. Eng. Inform. 43, 101043 (2020). https://doi.org/10.1016/j.aei.2020.101043
3. Shahzad, K.; Onils, M.: Condition monitoring in industry 4.0-design challenges and possibilities: a case study. In: 2018 Workshop on Metrology Industry. 4.0 IoT, pp. 101–106. IEEE (2018). https://doi.org/10.1109/METROI4.2018.8428306
4. Li, Z.; Wang, Y.; Wang, K.-S.: Intelligent predictive maintenance for fault diagnosis and prognosis in machine centers: industry 4.0 scenario. Adv. Manuf. 5, 377–387 (2017). https://doi.org/10.1007/s40436-017-0203-8
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