Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/6835
| Title: | Real-time train wheel condition monitoring by fiber Bragg grating sensors | Authors: | Wei, C Xin, Q Chung, W Liu, SYM Tam, HY Ho, SL |
Issue Date: | 2012 | Source: | International journal of distributed sensor networks, v. 2012, 409048, p.1-7 | Abstract: | Wheel defects on trains, such as flat wheels and out-of-roundness, inevitably jeopardize the safety of railway operations. Regular visual inspection and checking by experienced workers are the commonly adopted practice to identify wheel defects. However, the defects may not be spotted in time. Therefore, an automatic, remote-sensing, reliable, and accurate monitoring system for wheel condition is always desirable. The paper describes a real-time system to monitor wheel defects based on fiber Bragg grating sensors. Track strain response upon wheel-rail interaction is measured and processed to generate a condition index which directly reflects the wheel condition. This approach is verified by extensive field test, and the preliminary results show that this electromagnetic-immune system provides an effective alternative for wheel defects detection. The system significantly increases the efficiency of maintenance management and reduces the cost for defects detection, and more importantly, avoids derailment timely. | Keywords: | Condition index Defects detection Fiber Bragg Grating Sensors Field test Maintenance management Monitoring system Out of roundness Railway operations Strain response Train wheel Visual inspection Wheel defects Wheel-rail interaction |
Publisher: | Sage Publications, Inc. | Journal: | International journal of distributed sensor networks | ISSN: | 1550-1329 | EISSN: | 1550-1477 | DOI: | 10.1155/2012/409048 | Rights: | Copyright © 2012 Chuliang Wei et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| Appears in Collections: | Journal/Magazine Article |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Wei_Real-Time_Wheel_Fiber.pdf | 3.47 MB | Adobe PDF | View/Open |
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