We develop a wide range models that describe how the physical behavior of systems change as they degrade so that we can use these models to anticipate and prevent failure. Our models are both data-driven, to account for real-time information from sensor measurements, and physics-based, to incorporate our understanding of the system and its operating environment. For example, we developed a structural dynamic model to estimate the tip deflection of a wind turbine blade to detect when the composite material inside the blade was damaged. These models were enhanced based on experimental data that accurately captured the modes of vibration of the blades.

Click here to learn more about Vanderbilt’s capabilities in model-integrated design of systems that strongly couple physical and computational (software) elements in the Institute for Software Integrated Systems. http://www.isis.vanderbilt.edu/

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