Fault detection tool for maintenance of wayside signalling and communication
The Kelana Jaya Line (KJL) is the leading urban metro train operator in Malaysia and the eldest unmanned train operation system service use the automatic train-controlled system owned by Rapid KL. The system provides the highest reliability on the signalling aspect system which equips with sensors,...
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| Format: | Thesis |
| Language: | en en en |
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2019
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| Online Access: | http://eprints.uthm.edu.my/10938/1/24p%20NORHAFIZA%20SAMION.pdf http://eprints.uthm.edu.my/10938/2/NORHAFIZA%20SAMION%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/10938/3/NORHAFIZA%20SAMION%20WATERMARK.pdf http://eprints.uthm.edu.my/10938/ |
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| _version_ | 1833419377877188608 |
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| author | Samion, Norhafiza |
| author_facet | Samion, Norhafiza |
| author_sort | Samion, Norhafiza |
| building | UTHM Library |
| collection | Institutional Repository |
| content_provider | Universiti Tun Hussein Onn Malaysia |
| content_source | UTHM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | The Kelana Jaya Line (KJL) is the leading urban metro train operator in Malaysia and the eldest unmanned train operation system service use the automatic train-controlled system owned by Rapid KL. The system provides the highest reliability on the signalling aspect system which equips with sensors, electronics, and communication tool along the wayside. The key issue for KJL Wayside Signalling Maintenance Department team is facing a huge historical data and retrieving data failure records from the KJL Wayside Signalling data logger by manual screening method for maintenance purposes. This issue leads to time constraint and data redundancy. Therefore, this study aims to propose a tool known as a dashboard which may provide to retrieve failure data records by using Microsoft Excel software. The dashboard facilitates the team with the visualization of four selections inputs and three graphical outputs. This interactive tool made instant visibility of signalling status and assist the maintenance team to capture the trends of signalling activities. The tools begin with raw data processing using AWK programming for filtering and data cleansing for six significant variables of wayside equipment (i.e. Inductive Loop, Switch, Train, ID, Station Controller, and Platform). The result from the SUS shows the usability survey score 70.7 which is 1.04% above the global average. The study is beneficial for the organization on maintenance work in reducing time-consuming as per screening data and decision making for planning and scheduling |
| format | Thesis |
| id | my.uthm.eprints-10938 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | en en en |
| publishDate | 2019 |
| record_format | eprints |
| spelling | my.uthm.eprints-109382024-05-13T07:13:49Z http://eprints.uthm.edu.my/10938/ Fault detection tool for maintenance of wayside signalling and communication Samion, Norhafiza T Technology (General) The Kelana Jaya Line (KJL) is the leading urban metro train operator in Malaysia and the eldest unmanned train operation system service use the automatic train-controlled system owned by Rapid KL. The system provides the highest reliability on the signalling aspect system which equips with sensors, electronics, and communication tool along the wayside. The key issue for KJL Wayside Signalling Maintenance Department team is facing a huge historical data and retrieving data failure records from the KJL Wayside Signalling data logger by manual screening method for maintenance purposes. This issue leads to time constraint and data redundancy. Therefore, this study aims to propose a tool known as a dashboard which may provide to retrieve failure data records by using Microsoft Excel software. The dashboard facilitates the team with the visualization of four selections inputs and three graphical outputs. This interactive tool made instant visibility of signalling status and assist the maintenance team to capture the trends of signalling activities. The tools begin with raw data processing using AWK programming for filtering and data cleansing for six significant variables of wayside equipment (i.e. Inductive Loop, Switch, Train, ID, Station Controller, and Platform). The result from the SUS shows the usability survey score 70.7 which is 1.04% above the global average. The study is beneficial for the organization on maintenance work in reducing time-consuming as per screening data and decision making for planning and scheduling 2019-07 Thesis NonPeerReviewed text en http://eprints.uthm.edu.my/10938/1/24p%20NORHAFIZA%20SAMION.pdf text en http://eprints.uthm.edu.my/10938/2/NORHAFIZA%20SAMION%20COPYRIGHT%20DECLARATION.pdf text en http://eprints.uthm.edu.my/10938/3/NORHAFIZA%20SAMION%20WATERMARK.pdf Samion, Norhafiza (2019) Fault detection tool for maintenance of wayside signalling and communication. Masters thesis, Universiti Tun Hussein Onn Malaysia. |
| spellingShingle | T Technology (General) Samion, Norhafiza Fault detection tool for maintenance of wayside signalling and communication |
| title | Fault detection tool for maintenance of wayside signalling and communication |
| title_full | Fault detection tool for maintenance of wayside signalling and communication |
| title_fullStr | Fault detection tool for maintenance of wayside signalling and communication |
| title_full_unstemmed | Fault detection tool for maintenance of wayside signalling and communication |
| title_short | Fault detection tool for maintenance of wayside signalling and communication |
| title_sort | fault detection tool for maintenance of wayside signalling and communication |
| topic | T Technology (General) |
| url | http://eprints.uthm.edu.my/10938/1/24p%20NORHAFIZA%20SAMION.pdf http://eprints.uthm.edu.my/10938/2/NORHAFIZA%20SAMION%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/10938/3/NORHAFIZA%20SAMION%20WATERMARK.pdf http://eprints.uthm.edu.my/10938/ |
| url_provider | http://eprints.uthm.edu.my/ |