Railway track quality, safety and reliability through train-track dynamics and advanced machine learning

Junhui Huang; Sakdirat Kaewunruen

Railway track quality, safety and reliability through train-track dynamics and advanced machine learning

Junhui Huang, Sakdirat Kaewunruen

Civil Engineering

Research output: Contribution to conference (unpublished) › Poster › peer-review

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Abstract

This poster presents the research wok into advanced machine learning using train-track dynamic condition and data to identify railway track quality, safety and reliability.

Original language	English
Publication status	Published - 22 Jun 2023
Event	Clarke Lecture 2023 - Birmingham, Birmingham, United Kingdom Duration: 22 Jun 2023 → 22 Jun 2023

Conference

Conference	Clarke Lecture 2023
Country/Territory	United Kingdom
City	Birmingham
Period	22/06/23 → 22/06/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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HuangJ2023RailwayLicence: Creative Commons: Attribution (CC BY)

Cite this

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title = "Railway track quality, safety and reliability through train-track dynamics and advanced machine learning",

abstract = "This poster presents the research wok into advanced machine learning using train-track dynamic condition and data to identify railway track quality, safety and reliability. ",

author = "Junhui Huang and Sakdirat Kaewunruen",

year = "2023",

month = jun,

day = "22",

language = "English",

note = "Clarke Lecture 2023 ; Conference date: 22-06-2023 Through 22-06-2023",

}

TY - CONF

T1 - Railway track quality, safety and reliability through train-track dynamics and advanced machine learning

AU - Huang, Junhui

AU - Kaewunruen, Sakdirat

PY - 2023/6/22

Y1 - 2023/6/22

N2 - This poster presents the research wok into advanced machine learning using train-track dynamic condition and data to identify railway track quality, safety and reliability.

AB - This poster presents the research wok into advanced machine learning using train-track dynamic condition and data to identify railway track quality, safety and reliability.

UR - https://www.birmingham.ac.uk/schools/engineering/events/2023/clark-lecture-2023.aspx

M3 - Poster

T2 - Clarke Lecture 2023

Y2 - 22 June 2023 through 22 June 2023

ER -

Railway track quality, safety and reliability through train-track dynamics and advanced machine learning

Abstract

Conference

UN SDGs

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Cite this