Predictive Maintenance and Resource Optimization in Inventory Identification Tool Using ML

Authors

  • Pradeep Kumar Chenchala, Ashok Choppadandi, Jagbir Kaur, Varun Nakra, Pandi Kirupa Gopalakrishna Pandian Author

Keywords:

Predictive Maintenance (PdM), Gradient Boosting Model, Remaining Useful Lifetime (RUL),Classification Models, Neural Networks, Comprehensive Survey, Synthesize Material, Machine Learning Techniques, Prominent Strategy, Sustainable Manufacturing.

Abstract

Purpose: The fourth industrial revolution has given rise to a variety of concepts, one of which is maintenance planning, which is now essential to production systems since it provides a digital perspective on machine maintenance. Predictive Maintenance (PdM) is a well-known strategy that integrates all the operational techniques and protocols required to ensure machine availability and prevent a machinery-down situation. The expanding volume of data collected by sensing and intelligent machines is changing how decisions are made in the manufacturing sector.

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Published

21.07.2020

Issue

Vol. 8 No. 2 (2020): July-December, 2020

Section

Articles

License

Copyright (c) 2020 International Journal of Open Publication and Exploration, ISSN: 3006-2853

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite

Predictive Maintenance and Resource Optimization in Inventory Identification Tool Using ML. (2020). International Journal of Open Publication and Exploration, ISSN: 3006-2853, 8(2), 43-50. https://ijope.com/index.php/home/article/view/127

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