@inproceedings{2ad43a531daf496792bc6439a1d04b42,
title = "Enhancing Anomaly Diagnosis of Automatic Train Supervision System Based on Operation Log",
abstract = "Automatic train supervision (ATS) systems are designed to improve the reliability of train services. An ATS system coordinates the trains and other systems in a metro and records alarms if faults occur. In this work, we propose a context-aware anomaly diagnosis tool to analyze the underlying causes of alarms for ATS system. Using 61-day data collected from an operational ATS system, we apply our diagnosis tool to conduct systematic analysis of the alarms and identify interesting correlations among different assets and events. Our analysis shows that the alarms can be correlated with certain system events if they are in the same operations or the assets associated with them belong to the same or linked systems. These results can improve the efficiency of anomaly diagnosis and maintenance for metro system.",
keywords = "automatic train supervision, context-aware anomaly diagnosis, log analysis, metro system",
author = "Yan Li and Binbin Chen and Zheng, {Vincent W.} and Temple, {William G.} and Zbigniew Kalbarczyk and Yue Wu",
note = "Funding Information: ACKNOWLEDGMENT This work was supported in part by the National Research Foundation (NRF), Prime Minister{\textquoteright}s Office, Singapore, under its National Cybersecurity R&D Programme (Award No. NRF2014NCR-NCR001-31) and administered by the National Cybersecurity R&D Directorate, and supported in part by Singapore{\textquoteright}s Agency for Science, Technology, and Research (A*STAR) under a research grant for the Human-centered Cyber-physical Systems Programme at the Advanced Digital Sciences Center. We also thank our collaborators from SMRT Trains Ltd for their support to this work. Publisher Copyright: {\textcopyright} 2017 IEEE.; 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, DSN-W 2017 ; Conference date: 26-06-2017 Through 29-06-2017",
year = "2017",
month = aug,
day = "30",
doi = "10.1109/DSN-W.2017.25",
language = "English (US)",
series = "Proceedings - 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, DSN-W 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "133--136",
booktitle = "Proceedings - 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, DSN-W 2017",
address = "United States",
}