Abstract
This study aims to utilize AI-based digital twins for high-speed train rolling stock asset management toward the circular economy, which is a purpose of the Sustainable Development Goals (SDGs), by imagining high-speed train rolling stock component systems and using AI to create predictive maintenance models for the system.
| Original language | English |
|---|---|
| Publication status | Published - 26 Jun 2024 |
| Event | Clark Lecture 2024 - University of Birmingham, Birmingham, United Kingdom Duration: 26 Jun 2024 → 26 Jun 2024 https://www.birmingham.ac.uk/schools/engineering/events/2024/clark-lecture-2024 |
Conference
| Conference | Clark Lecture 2024 |
|---|---|
| Country/Territory | United Kingdom |
| City | Birmingham |
| Period | 26/06/24 → 26/06/24 |
| Internet address |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy -
SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 12 Responsible Consumption and Production -
SDG 13 Climate Action
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