Deep Learning System to Detect Cracks in Nuclear Power Plants
Channel: Purdue Engineering
Date: 2017-11-06

A system under development at Purdue University uses deep learning, an advanced artificial intelligence system, to detect cracks captured in videos of nuclear reactors and represents a future inspection technology to help reduce accidents and maintenance costs.  
Learn more:  http://bit.ly/inspection-tech

Featured Purdue Researchers: 
Mohammad R. Jahanshahi, Assistant Professor, Lyles School of Civil Engineering
Fu-Chen Chen, Doctoral Student, Lyles School of Civil Engineering

This research expands on previous work featured here:  http://bit.ly/nuclear-crack-detection and https://youtu.be/b87OgGBIR78

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Purdue's College of Engineering is among the largest in the United States and includes 13 academic programs, all with high rankings. U.S. News and World Report ranks Purdue's College of Engineering in the Top 10 nationwide: no. 8 for graduate programs and no. 8 for undergraduate programs.