Real-time fault diagnosis of train bogie using FBG sensors

Chuliang Wei; Zemin Cai; Hwa Yaw Tam; Siu Lau Ho; Qin Xin

doi:10.1109/ISdea.2012.433

Real-time fault diagnosis of train bogie using FBG sensors

Chuliang Wei, Zemin Cai, Hwa Yaw Tam, Siu Lau Ho, Qin Xin

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

4 Citations (Scopus)

Abstract

To measure the temperature profile of various critical parts on a train bogie to fore-warn the train drivers the potential failures in those mechanical parts, such as the axle and motor bearing, gear box bearing, and braking mechanisms, which could go undetected under existing maintenance procedure, and so as to reduce the possibility of sudden breakdowns. Eighteen fiber Bragg grating sensors are installed in those parts, and an interrogation system is used to capture the sensor data, then a data processing and presentation software consisting of a graphical user interface is to present the data and fore-warn the train drivers. The system is successfully built and tested in a train which services in the Airport Express Line of Hong Kong.

Original language	English
Title of host publication	Proceedings - 2012 International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2012
Pages	1087-1090
Number of pages	4
DOIs	https://doi.org/10.1109/ISdea.2012.433
Publication status	Published - 18 May 2012
Event	2nd International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2012 - Sanya, Hainan, China Duration: 6 Jan 2012 → 7 Jan 2012

Conference

Conference	2nd International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2012
Country/Territory	China
City	Sanya, Hainan
Period	6/01/12 → 7/01/12

Keywords

Fault Diagnosis
FBG Sensor
Temperature Monitoring
Train Bogie

ASJC Scopus subject areas

Computer Graphics and Computer-Aided Design
Artificial Intelligence

More information

10.1109/ISdea.2012.433

Cite this

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title = "Real-time fault diagnosis of train bogie using FBG sensors",

abstract = "To measure the temperature profile of various critical parts on a train bogie to fore-warn the train drivers the potential failures in those mechanical parts, such as the axle and motor bearing, gear box bearing, and braking mechanisms, which could go undetected under existing maintenance procedure, and so as to reduce the possibility of sudden breakdowns. Eighteen fiber Bragg grating sensors are installed in those parts, and an interrogation system is used to capture the sensor data, then a data processing and presentation software consisting of a graphical user interface is to present the data and fore-warn the train drivers. The system is successfully built and tested in a train which services in the Airport Express Line of Hong Kong.",

keywords = "Fault Diagnosis, FBG Sensor, Temperature Monitoring, Train Bogie",

author = "Chuliang Wei and Zemin Cai and Tam, {Hwa Yaw} and Ho, {Siu Lau} and Qin Xin",

year = "2012",

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doi = "10.1109/ISdea.2012.433",

language = "English",

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pages = "1087--1090",

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Wei, C, Cai, Z, Tam, HY, Ho, SL & Xin, Q 2012, Real-time fault diagnosis of train bogie using FBG sensors. in Proceedings - 2012 International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2012., 6173394, pp. 1087-1090, 2nd International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2012, Sanya, Hainan, China, 6/01/12. https://doi.org/10.1109/ISdea.2012.433

Real-time fault diagnosis of train bogie using FBG sensors. / Wei, Chuliang; Cai, Zemin; Tam, Hwa Yaw et al.
Proceedings - 2012 International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2012. 2012. p. 1087-1090 6173394.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AB - To measure the temperature profile of various critical parts on a train bogie to fore-warn the train drivers the potential failures in those mechanical parts, such as the axle and motor bearing, gear box bearing, and braking mechanisms, which could go undetected under existing maintenance procedure, and so as to reduce the possibility of sudden breakdowns. Eighteen fiber Bragg grating sensors are installed in those parts, and an interrogation system is used to capture the sensor data, then a data processing and presentation software consisting of a graphical user interface is to present the data and fore-warn the train drivers. The system is successfully built and tested in a train which services in the Airport Express Line of Hong Kong.

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Real-time fault diagnosis of train bogie using FBG sensors

Abstract

Conference

Keywords

ASJC Scopus subject areas

More information

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