Project Title | Development of A Turnout Rail Break Warning (TRBW) System Based on Distributed Optical Fiber Sensing (DOFS) Technologies |
University | Penn State Altoona |
Principal Investigator(s) | Hai Huang |
Funding Source(s) and Amounts Provided (by each agency or organization) | Federal Share $98,844 Match Share $99,662 |
Total Project Cost | $198,506 |
Start and End Dates | 01/31/2020 - 01/31/2022 |
Brief Description of Research Project | Recently, rail breaks at turnouts have been identified more and more frequently. An investigation by the European Union found that among turnout rail breaks more than 40% occurred at the switch rails (Figure 2). In the past decades, around 20% of track maintenance and renewal budgets have been spent on switches, not counting the cost associated with disrupted/delayed services (Kassa, et al. 2019). Currently, the rail industry relies primarily on periodic checks to detect rail cracks, using either ultrasonic vehicles (such as Sperry) or visual inspections. To improve railroad operation safety, realtime rail-break detection for turnouts is a great need. In this proposal, a turnout rail break warning (TRBW) system based on fiber optical and NB-IoT technologies is proposed. Although many optical sensing technologies have been developed, those designated as Distributed Optical Fiber Sensing (DOFS) are particularly attractive. By attaching a fiber-optic cable directly to a rail, DOFS is capable of making strain measurements continuously along the entire length. |