Robotics & Machine Learning Daily News2024,Issue(Jun.12) :38-38.

Investigators from Delft University of Technology Release New Data on Machine Le arning (Advancing Railway Track Health Monitoring: Integrating Gpr, Insar and Ma chine Learning for Enhanced Asset Management)

德尔夫特理工大学的研究人员发布了关于机器Le Arning的新数据(推进铁路轨道健康监测:整合探地雷达、Insar和机械学习以增强资产管理)

Robotics & Machine Learning Daily News2024,Issue(Jun.12) :38-38.

Investigators from Delft University of Technology Release New Data on Machine Le arning (Advancing Railway Track Health Monitoring: Integrating Gpr, Insar and Ma chine Learning for Enhanced Asset Management)

德尔夫特理工大学的研究人员发布了关于机器Le Arning的新数据(推进铁路轨道健康监测:整合探地雷达、Insar和机械学习以增强资产管理)

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摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-一项关于机器学习的新研究现在可以获得。据NewsRx Journ Alists在荷兰代尔夫特的新闻报道,研究表明,“铁路轨道健康监测和维护是铁路资产管理的重要阶段,旨在提高列车运行质量和使用寿命,但为此,已经采用了各种检测手段(使用不同的无损检测技术)。这些手段通常无法监测整个铁路轨道网或轨道底层(如道碴和路基)。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Machine Learning is now available. According to news reporting from Delft, Netherlands, by NewsRx journ alists, research stated, “Railway track health monitoring and maintenance are cr ucial stages in railway asset management, aiming to enhance the train operation quality and service life. For this aim, various inspection means (using diverse nondestructive testing techniques) have been applied, however, these means are m ostly not able to monitor whole railway track network or track underlying layers (e.g., ballast and subgrade).”

Key words

Delft/Netherlands/Europe/Cyborgs/Emerging Technologies/Finance/Machine Learning/Delft University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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