Feb 20, 2020 · In this paper, we compare a variety of different traditional machine learning and deep learning approaches to a representative (and modestly sized) predictive ...
Jun 23, 2020 · Nowadays, Predictive maintenance (PdM) obstacles were the focus of many studies that used machine learning techniques as a tool.
A Comparative Study of State-of-the-Art Machine. Learning Algorithms for Predictive Maintenance. In 2019 IEEE Symposium Series on Computational Intelligence.
Abstract—Predictive maintenance strives to maximize the availability of engineering systems. Over the last decade, machine learning has started to play a ...
A Comparison of State-of-the-Art Machine Learning Algorithms on Fault Indication and Remaining Useful Life Determination by Telemetry Data. August 2021.
Despite the increased interest in the use of machine learning for predictive maintenance, few studies involve thorough comparisons of machine learning ...
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Mar 10, 2024 · This study aims to tackle the need for high-performance machine learning models while promoting environmental sustainability, contributing to ...
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A comparative analysis of machine learning methods is presented. The strategy aims to predict failures and then indicates the maintenance necessity before a ...
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In this work, we compare different machine learning and deep learning techniques to optimise the predictive maintenance of ball bearing systems.
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2 days ago · This literature review examines the technologies of Machine Learning (ML) in Predictive Maintenance (PdM), highlighting the necessity for ...