Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/141443
Title: Condition monitoring of train door system 2
Authors: Chew, Jun Xiang
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2020
Publisher: Nanyang Technological University
Project: A1106-191
Abstract: Transport is an important part of society in any country. It provides good physical connectivity throughout all ends of the country. In Singapore, the Singapore Mass Rapid Transit (SMRT) is one of the main transport service providers. They operate train services on the North-South Line, East-West Line, Circle Line, Bukit Panjang Light Rail and the latest addition the Thomson-East Coast line. The constantly demand for public transport in Singapore has always been rising over the years. In order to keep up to the demands of the public, SMRT is always trying to find new routes to bring more connectivity within the country. Also, as the demand grows, there is a need for the service to be reliable so as to not cause any unnecessary delays in this mode of travel for the public. Therefore, in May 2016, SMRT together with Nanyang Technological University, has launched a joint research laboratory to find ways to improve the overall reliability of the system. The main focus is to discover new technological driven solutions so that they are able to construct a more resilient and reliable urban rail system. In this Final Year Project (FYP), Condition Monitoring of Train Door System, it will go through methods to detect how likely the train door will run into a fault so that it be used to schedule a maintenance in order to avoid downtime during operations. This FYP will incorporate Artificial Intelligence by the means of python into creating an algorithm to detect such anomaly within the system.
URI: https://hdl.handle.net/10356/141443
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
FYP Final Report EEE.pdf
  Restricted Access
2.52 MBAdobe PDFView/Open

Page view(s)

93
Updated on May 25, 2022

Download(s)

8
Updated on May 25, 2022

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.