Fault Diagnosis and Prognosis of Railway Vehicle System

Railway vehicles are essential for modern urban transportation systems. With the rapid global expansion of high-speed rail networks, ensuring running safety has become increasingly important. Railway vehicles face potential risks from both the health of railway infrastructure and the key components of the vehicles themselves. Fault diagnosis and prognosis play a critical role in monitoring the condition of railway vehicles and assessing potential risks during the running of railway vehicle systems. Through the output results, maintenance engineers or departments may create further effective strategies to avoid accidents. To achieve these purposes, the main task is to collect monitoring data from railway vehicle systems and extract valuable information through data analysis. Relevant methodologies and technologies include measurement and data collection, condition monitoring, fault diagnosis, health assessment, and prognosis. These areas are key topics in the field and serve as the foundation for improving safety and reliability in railway operations. The purpose of this special issue is to disseminate the advanced research and its applications in fault diagnosis and prognosis of railway lines and key components of vehicles. It is expected to provide series of solutions to the difficulties in safety assurance of railway vehicle systems. This special issue in Measurement Science and Technology is open for submission from 6 June 2023 to 31 January 2024 and contains 36 outstanding papers in relevant topics.