Robotics & Machine Learning Daily News2024,Issue(Jun.14) :29-29.

Investigators at Petroleum-Gas University of Ploiesti Report Findings in Machine Learning (Proposal of a Machine Learning Predictive Maintenance Solution Archit ecture)

Ploiesti石油天然气大学的研究人员报告了机器学习的发现(机器学习预测维护解决方案架构的建议)

Robotics & Machine Learning Daily News2024,Issue(Jun.14) :29-29.

Investigators at Petroleum-Gas University of Ploiesti Report Findings in Machine Learning (Proposal of a Machine Learning Predictive Maintenance Solution Archit ecture)

Ploiesti石油天然气大学的研究人员报告了机器学习的发现(机器学习预测维护解决方案架构的建议)

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摘要

机器人与机器学习每日新闻的一位新闻记者兼新闻编辑-机器学习的最新研究结果已经发表。根据NewsRx记者在罗马尼亚Ploiesti的新闻报道,研究称:“本文提出了一种用于预测维修解决方案的结构模型,该模型可用于检测工业装置设备的老化。该平台符合Industry 4.0标准,并采用机器学习算法和数据分析方法来模拟设备退化的动力学。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating in Ploiesti, Ro mania, by NewsRx journalists, research stated, “This article proposes an archite cture model for a predictive maintenance solution that can be used to detect deg radation of equipment in industrial units. This platform is compliant with Indus try 4.0 standards and employs machine learning algorithms alongside with data an alytics methodologies to model the kinetics of equipment degradation.”

Key words

Ploiesti/Romania/Europe/Cyborgs/Emerging Technologies/Machine Learning/Petroleum-Gas University of Ploiesti

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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