Sustainable Railway Infrastructures: Health Monitoring, Assessment and Maintenance
Deadline for manuscript submissions: closed (20 February 2024) | Viewed by 4287
Interests: UAV-based automatic railway inspection; fault diagnosis; prognostics and health management
Special Issues, Collections and Topics in MDPI journals
Interests: system safety engineering; railway safety assurance; autonomous risk management
In the past few decades, as an important industry to promote economic development and regional exchanges, railways, including high-speed railways, have undergone a considerable period of large-scale construction and have grown significantly. However, since the railway networks in operation become more and more complex, a great challenge is to perform efficient health monitoring, assessment and maintenance of large-scale railway infrastructures in order to ensure the safe operation and sustainable use of railways. In recent years, with the development of various dynamic monitoring and sensing methods, it is urgent to integrate these new technologies into the railway field to improve the existing railway safety assurance capabilities. At the same time, in the context of artificial intelligence and big data, a large amount of data accumulated in the long-term railway operation process can be fully mined to provide stronger support for future railway safety operations.
This Special Issue aims to review the latest research progress and advanced engineering applications in the field of railway safety operation. Submissions of conceptual, empirical and literature review papers focusing on this field are all encouraged. Different types and algorithms in this area are welcome in this Special Issue.
Dr. Zhipeng Wang
Prof. Dr. Yong Qin
Dr. Jie Geng
Manuscript Submission Information
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- railway infrastructures
- fault diagnosis
- health monitoring
- health assessment
- automatic inspection