Progressive Fault Identification and Prognosis of Railway Tracks Based on Intelligent Inference (1.6)
The objectives of this project are to synthesize novel sensors integrated with physics-informed data analytics to monitor the railway track for enhanced reliability and durability. New active sensing mechanisms will be explored, to enable autonomous detection and identification. New physics-informed statistical inference algorithms will be formulated, to realize highly accurate fault diagnosis and prognosis. Direct collaboration with industry partner will be carried out.
- Record URL:
Language
- English
Project
- Status: Completed
- Funding: $254,000
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Contract Numbers:
69A3551847101
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Sponsor Organizations:
University of Connecticut, Storrs
Storrs, CT United States 06268-5202Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
Transportation Infrastructure Durability Center
University of Maine
Orono, ME United States 04469Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Project Managers:
Dunn, Denise
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Performing Organizations:
Transportation Infrastructure Durability Center
University of Maine
Orono, ME United States 04469University of Connecticut, Storrs
Connecticut Transportation Institute
270 Middle Turnpike, Unit 5202
Storrs, CT United States 06269-5202 -
Principal Investigators:
Tang, Jiong
- Start Date: 20181001
- Expected Completion Date: 20220630
- Actual Completion Date: 20220630
- USDOT Program: University Transportation Centers Program
Subject/Index Terms
- TRT Terms: Algorithms; Diagnostic tests; Durability; Fault monitoring; Intelligent agents; Railroad tracks; Reliability; Sensors
- Subject Areas: Data and Information Technology; Maintenance and Preservation; Railroads;
Filing Info
- Accession Number: 01698524
- Record Type: Research project
- Source Agency: Transportation Infrastructure Durability Center
- Contract Numbers: 69A3551847101
- Files: UTC, RIP
- Created Date: Mar 5 2019 10:20AM