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Artificial Intelligence Based Industrial Product Maintenance Using IOT
Subject area: Science,Engineering and Technology · Area of research: INDUSTRIAL PRODUCT MAINTENANCE USING IOT
Abstract
Computer-aided engineering has been applied to high-current electrical engineering, mainly in the areas of power systems and motors and drives, to demonstrate the potential of applying artificial intelligence in these areas. Since artificial intelligence technology is permanent and consistent, and has the ability to be easily recorded and reproduced, this feature can develop new technologies in high voltage power supplies and other electrical engineering fields. The Internet of Things (IOT) in the manufacturing industry gathers information through various sensors and analyzes it to obtain information to become more productive. Information gathered by the machine often proves to be critical for predictive modeling.
Keywords
Electrical Engineering, IoT, motors.
References
[1] Karolis Liulys ,“Machine Learning Application in Predictive Maintenance”, Waldkirch, Germany, 2018
[2] Trung Kien Nguyen, Illia Azarkh, Benjamin Nicolle ,“Applying NIALM Technology to Predictive Maintenance for Industrial Machines”, Transactions on Automation Science and Engineering Vol. 5, Issue 1, 2008, p. 1- 192.
[3] Ameeth Kanawaday , Aditya Sane,“Machine Learning for Predictive Maintenance of Industrial Machines using IoT Sensor Data” ,Lightwave Technol. Vol. 21, 2003. [Online]. Available: https://www.osapublishing.org/jlt/abstract.cfm?URI=jlt21-3-815
[4] Teodora Sandra Buda, Haytham Assem , Lei Xu,“ADE: An Ensemble Approach for Early Anomaly Detection”, in IEEE 15th International Symposium on Consumer Electronics, Singapore:2017,pp.
[5] Zhe Yang , Piero Baraldi , Enrico Zio,“A Comparison Between Extreme Learning Machine and Artificial Neural Network for Remaining Useful Life Prediction ”, School of Automation Science and Electrical Engineering, Bee Hang University, Beijing 100191, China,Proceedings of ICCTA 2016.
[6] A. ElShafee and K. A. Hamed,“ Design and Implementation of a WiFi Based Home Automation System”, World Academy of Science, Engineering and Technology, pp. 2177- 2180, 2018.
How to cite this paper
@article{1702371,
author = {Mohammad Saad Shaikh, Kunal Dalmia, Prof. Srijita Bhattacharjee},
title = {Artificial Intelligence Based Industrial Product Maintenance Using IOT},
journal = {Iconic Research And Engineering Journals},
year = {2020},
volume = {3},
number = {12},
pages = {128-131},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1702371.pdf},
abstract = {Computer-aided engineering has been applied to high-current electrical engineering, mainly in the areas of power systems and motors and drives, to demonstrate the potential of applying artificial intelligence in these areas. Since artificial intelligence technology is permanent and consistent, and has the ability to be easily recorded and reproduced, this feature can develop new technologies in high voltage power supplies and other electrical engineering fields. The Internet of Things (IOT) in the manufacturing industry gathers information through various sensors and analyzes it to obtain information to become more productive. Information gathered by the machine often proves to be critical for predictive modeling.},
keywords = {Electrical Engineering, IoT, motors.},
month = {June},
}