DEVELOPMENT OF AN IOT-BASED PREDICTIVE MAINTENANCE SYSTEM FOR ROTATING MACHINERY USING MACHINE LEARNING TECHNIQUES
Keywords:
IOT, Predictive Maintenance, machinery, machine learning techniquesAbstract
In this paper, we outlined the creation of a predictive maintenance system based on theInternet of Things (IoT) incorporating machine learning for monitoring rotating machinery. Acomprehensive system is put forward where vibration, temperature, current, and rotational speed of a rotating machine are measured via IoT-enabled sensors
References
Carvalho, T. P., Soares, F. A. V., Vita, R., Francisco, R. P., Basto, J. P., & Alcalá, S. G. S. (2019). A systematic literature review of machine learning methods applied to predictive maintenance. Computers & Industrial Engineering, 137, 106024.
Lei, Y., Li, N., Lin, J., & He, Z. (2013). Fault diagnosis and prognosis of bearing by vibration and current analysis. Journal of Mechanical Engineering, 49(13), 1–10.
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Published
2021-10-19
How to Cite
Dr. MELINATI RAKESH Ph.D. (2021). DEVELOPMENT OF AN IOT-BASED PREDICTIVE MAINTENANCE SYSTEM FOR ROTATING MACHINERY USING MACHINE LEARNING TECHNIQUES. Journal of Computational Analysis and Applications (JoCAAA), 29(5), 1067–1076. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/5383
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