Data-driven approaches for improving failure resilience of engineered systems

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2019-01-01
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Sadoughi, Mohammadkazem
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Chao Hu
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Mechanical Engineering
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Since the 1980s, major industries and government agencies worldwide have faced increasing challenges in ensuring the reliability and resilience of engineered systems. The goal of this dissertation is to create novel probabilistic analysis and design methodologies that enable engineered systems to achieve and sustain near-zero breakdown performance. Specifically, this dissertation is focused on developing new methods for simulation-based design and sensor-based diagnostics and prognostics that can be used to design engineered systems for failure resilience. The research contributions are in the areas of engineering design under uncertainty and post-design fault diagnostics which focuses on applications within wind turbines (energy generation), rotating machinery, and large-scale structural systems.

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Wed May 01 00:00:00 UTC 2019