Automation in Non-destructive Testing (NDT) Technology for Real-Time Railway Infrastructure Fatigue Diagnosis and Prognosis

Dear Colleagues,

The EU Sustainable and Smart Mobility Strategy states that “Digitalisation will become an indispensable driver for the modernization of the entire system, making it seamless and more efficient. Europe also needs to use digitalization and automation to further increase the levels of safety, security, reliability, and comfort…”. However, the digitalization of railway infrastructure has not been developed thoroughly. Stemming from state-of-the-art NDT technologies for field railway infrastructure inspection, automatically processing and analysing the inspection data will be the next step toward real-time infrastructure fatigue diagnosis and prognosis. This Special Issue aims to provide selected contributions on advances in automation, fatigue/defect diagnosis and prognosis as well as new NDT technology development for railway infrastructure.

Potential topics include, but are not limited to:

• AI application in NDT inspection data processing;
• Digital twins in railway infrastructure;
• Advanced numerical modelling using NDT inspection data;
• Predictive maintenance for railway infrastructure using NDT technology;
• NDT technology for railway circularity;
• Sustainable preventative maintenance using NDT technology.

Dr. Yunlong Guo
Prof. Dr. Guoqing Jing
Dr. Sakdirat Kaewunruen
Guest Editors

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