Optical fibre networks facilitate shift to predictive maintenance
In order to switch from scheduled to condition-based and predictive maintenance, railways are using optical fiber sensing networks (OFSN), as explained in this article. Various sensors are utilized by the OFSN to indicate the health of track-based and train-borne assets. Real-time train and track condition information allows operators to act promptly in case of a fault, thus improving train availability and service quality.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/07445326
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Authors:
- Liu, Shun-Yee
- Lee, Kang-Kuen
- Cheng, Kei-Chun
- Publication Date: 2017-8
Language
- English
Media Info
- Media Type: Print
- Features: Figures; Photos;
- Pagination: pp 38-40
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Serial:
- International Railway Journal
- Volume: 57
- Issue Number: 8
- Publisher: Simmons-Boardman Publishing Corporation
- ISSN: 0744-5326
Subject/Index Terms
- TRT Terms: Fiber optics; Maintenance; Maintenance of way; Monitoring; Railroads; Sensors
- Uncontrolled Terms: Condition monitoring; Predictive maintenance
- Subject Areas: Data and Information Technology; Maintenance and Preservation; Railroads; Vehicles and Equipment;
Filing Info
- Accession Number: 01649161
- Record Type: Publication
- Files: TRIS
- Created Date: Oct 23 2017 1:42PM