Design and Implementation of Big Data Cloud Platform Supporting Fault Diagnosis and PHM System for Switch Equipment

Long Shi, Rong Zhou, Shulin Tan

2019

Abstract

Switch equipment plays an important role in railway signal system with the high failure rate. Ensuring the good work condition of railway switch equipment is of great significance for the safety and efficiency of railway transportation. Based on technologies such as information sensing, Internet of Things, cloud computing, expert system, artificial intelligence and fault prediction and health management (PHM), a structure design of the fault diagnosis and PHM system for switch equipment is put forward. A big data cloud platform, gathering and managing massive data reflecting the working state of switch equipment, is designed and implemented. It will be a powerful support for the system to reduce failure rate and improve operation and maintenance capability of switch equipment.

Paper Citation

in Harvard Style

Shi L., Zhou R. and Tan S. (2019). Design and Implementation of Big Data Cloud Platform Supporting Fault Diagnosis and PHM System for Switch Equipment.In Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering - Volume 1: ICVMEE, ISBN 978-989-758-412-1, pages 270-273. DOI: 10.5220/0008377302700273

in Bibtex Style

@conference{icvmee19,
author={Long Shi and Rong Zhou and Shulin Tan},
title={Design and Implementation of Big Data Cloud Platform Supporting Fault Diagnosis and PHM System for Switch Equipment},
booktitle={Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering - Volume 1: ICVMEE,},
year={2019},
pages={270-273},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008377302700273},
isbn={978-989-758-412-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering - Volume 1: ICVMEE,
TI - Design and Implementation of Big Data Cloud Platform Supporting Fault Diagnosis and PHM System for Switch Equipment
SN - 978-989-758-412-1
AU - Shi L.
AU - Zhou R.
AU - Tan S.
PY - 2019
SP - 270
EP - 273
DO - 10.5220/0008377302700273