Structural Health Monitoring

Beschreibung

This book discusses systems of damage detection and structural health monitoring in mechanical, civil, and aerospace structures. It utilizes principles of fuzzy logic, probability theory, and signal processing to develop systems and approaches that are robust in the presence of both noise in the data and variations in properties of materials which are intrinsic to the process of mass production. This volume will be useful to graduate students, researchers, and engineers working in this area, especially those looking to understand and address model uncertainty in their algorithms.  
This book discusses systems of damage detection and structural health monitoring in mechanical, civil, and aerospace structures. It utilizes principles of fuzzy logic, probability theory, and signal processing to develop systems and approaches that are robust in the presence of both noise in the data and variations in properties of materials which are intrinsic to the process of mass production. This volume will be useful to graduate students, researchers, and engineers working in this area, especially those looking to understand and address model uncertainty in their algorithms.   
Investigates non-deterministic methods in structural health monitoring Addresses the effect of model uncertainty on structural health monitoring Discusses new methods based on fractals, wavelets and fuzzy logic

Autor*in

Ranjan Ganguli

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Damage Models Structural Health Monitoring Pattern Recognition Uncertainty Fuzzy Logic Fractals

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