Published 23-06-2023
Keywords
- Machine learning,
- Predictive Maintenance
Copyright (c) 2023 Dr. Reza Jafari (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
How to Cite
Abstract
The rapid development of information and communication technology (ICT) combined with the global maintenance management of newer constrained environments like AVFs gather dataset on unprecedented scales. This gives with them possibilities for new innovative solutions for condition monitoring, diagnostic, and prognostic. The approach of intelligent monitoring, and maintenance management strategies would allow to ensure the highest availability, reliability, and mission readiness of AVFs while reducing the overall costs of operation and maintenance from a lifecycle perspective. Such advances like dialectric spectroscopy analysis with the help of Machine Learning algorithms to create a prediction model have been proposed to be applied to predict the Remaining Useful Life (RUL) of mechanical components in vehicles
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References
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