Project 1.6: Progressive fault identification and prognosis of railway tracks based on intelligent inference

Project Abstract:

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 developed, 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.

Sponsors:
University Transportation Centers Program, Department of Transportation
University of Connecticut

Implementation of Research Outcomes:
Currently, the research project is in the initial phase and is ongoing. The research outcomes will be implemented as they are developed.
The formulation of high-frequency finite element analysis with piezoelectric actuation has been shared with Sperry Rail Service and partially utilized by Sperry to facilitate wave propagation analysis in Sperry probe.

Impacts and Benefits of Implementation:
The research project is in the initial phase and is ongoing. The benefits will be determined towards the end of the research project.

Related Links:
Coming Soon

Downloadable Documents