Predictive Maintenance Using Machine Learning in  Industrial IoT Systems

Dr.A.Suphalakshmi,Ms. Pavithra P M,Mrs. K.P.Vijayalakshmi,Mr. Mrs.S.Mahalakshmi

Predictive Maintenance Using Machine Learning in Industrial IoT Systems

Authors

Dr.A.Suphalakshmi,Ms. Pavithra P M,Mrs. K.P.Vijayalakshmi,Mr. Mrs.S.Mahalakshmi

Keywords:

Predictive Maintenance, vibration, proactive, nonintrusive, Jupyter, Machine Learning.

Abstract

Predictive maintenance utilising Machine learning approaches assist machines orsystems in predicting and reducing various forms of machine failures using various particularstrategies. Predictive maintenance (PdM) has developed as a crucial strategy to optimising

References

. Kaorlis Liulys, “Machine Learning Application in Predictive Maintenance,” 2019 Open Conference of Electrical, Electronic and Information Sciences (es-Tream), pp. 1-4, 2022

. Joel Anto Williams N et al., “Machine Predcitive Mainteneace System for Industrial Applications,” International Journal of Current Research, vol. 14, no. 05, pp. 21410-21412, 2022

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Published

2024-08-28

How to Cite

Dr.A.Suphalakshmi,Ms. Pavithra P M,Mrs. K.P.Vijayalakshmi,Mr. Mrs.S.Mahalakshmi. (2024). Predictive Maintenance Using Machine Learning in Industrial IoT Systems. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 3357–3362. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2481