Conditioning monitoring of train system from sub-systems to predictive fault detection

This Final Year Project (FYP) aims to explore the possibility of carrying out predictive analysis to predict potential train faults for Singapore Mass Rapid Transport (MRT) from the available data provided. The primary objective of this project is to determine valuable indicators within the av...

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Main Author: Zhu, Yukai
Other Authors: Ling Keck Voon
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
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Online Access:https://hdl.handle.net/10356/167558
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-1675582023-07-07T15:50:14Z Conditioning monitoring of train system from sub-systems to predictive fault detection Zhu, Yukai Ling Keck Voon School of Electrical and Electronic Engineering Land Transport Authority EKVLING@ntu.edu.sg Engineering::Electrical and electronic engineering This Final Year Project (FYP) aims to explore the possibility of carrying out predictive analysis to predict potential train faults for Singapore Mass Rapid Transport (MRT) from the available data provided. The primary objective of this project is to determine valuable indicators within the available data that can be utilized as performance metrics for the purpose of predictive analysis on MRT trains in Singapore. This report discusses the different analytical methods employed and their outcomes in assessing the feasibility of implementing predictive maintenance in Singapore's railway system through conditional monitoring, which is monitoring the various subsystem of a train system. Additionally, the report also briefly addresses the limitations of the current datasets and collection methodologies. Since there is no existing predictive maintenance system in Singapore's railway system, the initiation and submission of this project aim to overcome the identified shortcomings and use the promising performance indicators identified to establish a framework for predictive maintenance in Singapore's railway system. Through the analysis of the dataset a positive trend is observed relating the correlation of the increasing occurrence of “departure” indicator to a fault occurring of the component under the subsystem of “Passenger Information System”. However, as discussed later in the report, there are challenges faced in using the dataset to achieve predictive analysis. Bachelor of Engineering (Electrical and Electronic Engineering) 2023-05-30T00:53:36Z 2023-05-30T00:53:36Z 2023 Final Year Project (FYP) Zhu, Y. (2023). Conditioning monitoring of train system from sub-systems to predictive fault detection. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167558 https://hdl.handle.net/10356/167558 en A1079-221 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
spellingShingle Engineering::Electrical and electronic engineering
Zhu, Yukai
Conditioning monitoring of train system from sub-systems to predictive fault detection
description This Final Year Project (FYP) aims to explore the possibility of carrying out predictive analysis to predict potential train faults for Singapore Mass Rapid Transport (MRT) from the available data provided. The primary objective of this project is to determine valuable indicators within the available data that can be utilized as performance metrics for the purpose of predictive analysis on MRT trains in Singapore. This report discusses the different analytical methods employed and their outcomes in assessing the feasibility of implementing predictive maintenance in Singapore's railway system through conditional monitoring, which is monitoring the various subsystem of a train system. Additionally, the report also briefly addresses the limitations of the current datasets and collection methodologies. Since there is no existing predictive maintenance system in Singapore's railway system, the initiation and submission of this project aim to overcome the identified shortcomings and use the promising performance indicators identified to establish a framework for predictive maintenance in Singapore's railway system. Through the analysis of the dataset a positive trend is observed relating the correlation of the increasing occurrence of “departure” indicator to a fault occurring of the component under the subsystem of “Passenger Information System”. However, as discussed later in the report, there are challenges faced in using the dataset to achieve predictive analysis.
author2 Ling Keck Voon
author_facet Ling Keck Voon
Zhu, Yukai
format Final Year Project
author Zhu, Yukai
author_sort Zhu, Yukai
title Conditioning monitoring of train system from sub-systems to predictive fault detection
title_short Conditioning monitoring of train system from sub-systems to predictive fault detection
title_full Conditioning monitoring of train system from sub-systems to predictive fault detection
title_fullStr Conditioning monitoring of train system from sub-systems to predictive fault detection
title_full_unstemmed Conditioning monitoring of train system from sub-systems to predictive fault detection
title_sort conditioning monitoring of train system from sub-systems to predictive fault detection
publisher Nanyang Technological University
publishDate 2023
url https://hdl.handle.net/10356/167558
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