12-734 Special Topics: Structural Health Monitoring
Location: Pittsburgh
Units: 6
Semester Offered: Spring
Location: Pittsburgh
Units: 6
Semester Offered: Spring
This area requires a multi-disciplinary approach that encompasses structural engineering, sensor technology, wireless communication, signal processing, and statistical analysis.
This course introduces damage diagnosis algorithms using various model-based and signal-based methods for civil structures with an emphasis on the underlying physical interpretations and their practical usage.
The methods include modal analysis, time-series modeling, Gaussian mixture modeling, hypothesis testing, frequency analysis, and various classification techniques.
The course is lecture-based with assignments and a project.
You will have an opportunity through a class project to explore various damage diagnosis algorithms, choose one to implement, present your work to the class, and be peer-reviewed.