Smart train control and monitoring system with predictive maintenance and secure communications features
Predictive maintenance is a proactive and data-driven approach to service maintenance that aims to identify potential problems before they occur. Modern trains have a sophisticated train control and monitoring system (TCMS), a vehicle processing unit to deliver train status conditions. On top of the...
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| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-05-01
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| Series: | Transportation Research Interdisciplinary Perspectives |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590198225000880 |
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| _version_ | 1850113829952815104 |
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| author | Alfian Akbar Gozali Muhammad Faris Ruriawan Andry Alamsyah Yudha Purwanto Ade Romadhony Febry Pandu Wijaya Fifin Nugroho Dewi Nala Husna Agri Kridanto Anang Fakhrudin Mu’ammar Itqon Sri Widiyanesti |
| author_facet | Alfian Akbar Gozali Muhammad Faris Ruriawan Andry Alamsyah Yudha Purwanto Ade Romadhony Febry Pandu Wijaya Fifin Nugroho Dewi Nala Husna Agri Kridanto Anang Fakhrudin Mu’ammar Itqon Sri Widiyanesti |
| author_sort | Alfian Akbar Gozali |
| collection | DOAJ |
| description | Predictive maintenance is a proactive and data-driven approach to service maintenance that aims to identify potential problems before they occur. Modern trains have a sophisticated train control and monitoring system (TCMS), a vehicle processing unit to deliver train status conditions. On top of the proprietary TCMS system, the authors designed an intelligent TCMS fitted with two main functions. First, the data analytics features predict the product age and deliver real-time notifications. Second, a robust infrastructure for mobile conditions with data security protection exists. Thus, the authors named the solution as Smart TCMS. This research has designed a user-friendly dashboard to facilitate real-time condition monitoring and timely notification of any detected problems, focusing on different level component severity problems: air conditioning (low severity), battery (medium severity), and traction system components (high severity). This solution has been implemented on an electric diesel train, an Indonesian Rolling Stock Industry (INKA) product. |
| format | Article |
| id | doaj-art-e6f686b8a5284d4b94ba99b665183cab |
| institution | OA Journals |
| issn | 2590-1982 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Transportation Research Interdisciplinary Perspectives |
| spelling | doaj-art-e6f686b8a5284d4b94ba99b665183cab2025-08-20T02:37:03ZengElsevierTransportation Research Interdisciplinary Perspectives2590-19822025-05-013110140910.1016/j.trip.2025.101409Smart train control and monitoring system with predictive maintenance and secure communications featuresAlfian Akbar Gozali0Muhammad Faris Ruriawan1Andry Alamsyah2Yudha Purwanto3Ade Romadhony4Febry Pandu Wijaya5Fifin Nugroho6Dewi Nala Husna7Agri Kridanto8Anang Fakhrudin9Mu’ammar Itqon10Sri Widiyanesti11Telkom University, Bandung 40257, IndonesiaTelkom University, Bandung 40257, IndonesiaTelkom University, Bandung 40257, Indonesia; Corresponding author.Telkom University, Bandung 40257, IndonesiaTelkom University, Bandung 40257, IndonesiaIndonesian Rolling Stock Industry, Madiun 63122, IndonesiaIndonesian Rolling Stock Industry, Madiun 63122, IndonesiaIndonesian Rolling Stock Industry, Madiun 63122, IndonesiaIndonesian Rolling Stock Industry, Madiun 63122, IndonesiaIndonesian Rolling Stock Industry, Madiun 63122, IndonesiaIndonesian Rolling Stock Industry, Madiun 63122, IndonesiaTelkom University, Bandung 40257, IndonesiaPredictive maintenance is a proactive and data-driven approach to service maintenance that aims to identify potential problems before they occur. Modern trains have a sophisticated train control and monitoring system (TCMS), a vehicle processing unit to deliver train status conditions. On top of the proprietary TCMS system, the authors designed an intelligent TCMS fitted with two main functions. First, the data analytics features predict the product age and deliver real-time notifications. Second, a robust infrastructure for mobile conditions with data security protection exists. Thus, the authors named the solution as Smart TCMS. This research has designed a user-friendly dashboard to facilitate real-time condition monitoring and timely notification of any detected problems, focusing on different level component severity problems: air conditioning (low severity), battery (medium severity), and traction system components (high severity). This solution has been implemented on an electric diesel train, an Indonesian Rolling Stock Industry (INKA) product.http://www.sciencedirect.com/science/article/pii/S2590198225000880Predictive maintenanceTrainMachine learningData analyticsSecurityMobile infrastructure |
| spellingShingle | Alfian Akbar Gozali Muhammad Faris Ruriawan Andry Alamsyah Yudha Purwanto Ade Romadhony Febry Pandu Wijaya Fifin Nugroho Dewi Nala Husna Agri Kridanto Anang Fakhrudin Mu’ammar Itqon Sri Widiyanesti Smart train control and monitoring system with predictive maintenance and secure communications features Transportation Research Interdisciplinary Perspectives Predictive maintenance Train Machine learning Data analytics Security Mobile infrastructure |
| title | Smart train control and monitoring system with predictive maintenance and secure communications features |
| title_full | Smart train control and monitoring system with predictive maintenance and secure communications features |
| title_fullStr | Smart train control and monitoring system with predictive maintenance and secure communications features |
| title_full_unstemmed | Smart train control and monitoring system with predictive maintenance and secure communications features |
| title_short | Smart train control and monitoring system with predictive maintenance and secure communications features |
| title_sort | smart train control and monitoring system with predictive maintenance and secure communications features |
| topic | Predictive maintenance Train Machine learning Data analytics Security Mobile infrastructure |
| url | http://www.sciencedirect.com/science/article/pii/S2590198225000880 |
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