Analysis of Structural Health Monitoring Systems: From Theory to Practice - Full Dissertation Document

 Author: Salam Jaroshi

 Download: Salam Jaroshi

  • Discipline: Engineering, Civil Engineering, Aerospace Engineering, Mechanical Engineering, Environmental Engineering
  • Type: Dissertation/Thesis
  • Year: 2014
  • Institution: [Your University Name]
  • Advisor: Prof. Dr. Paul Bar – Head of CEE Department – Professor of Civil and Environmental Engineering, Prof. Dr. William Dussete – Professor of Information Management Systems, Dr. Kenny Sundanburg – Professor of Structural Engineering, Prof. Dr. Martin Hallwing – Professor of Structural Engineering, Prof. Dr. Mang Fing – Research Professor of Artificial Intelligence and Robotics, Dr. Idilas Villanzueva – Professor of Engineering Education, Dr. Vicky Alan – Research Professor of Machine Learning and Electronic Education Systems 

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This dissertation provides a comprehensive analysis of Structural Health Monitoring (SHM) systems, bridging the gap between theoretical foundations and practical applications. Novel algorithms and experimental validations demonstrate advancements in damage detection, localization, and quantification for civil, aerospace, and mechanical engineering structures.

Keywords

Structural Health Monitoring (SHM), Damage Detection, Localization, Quantification, Sensor Technologies, Wavelet Transform, Principal Component Analysis (PCA), Machine Learning, Experimental Validation, Civil Engineering, Aerospace Engineering, Mechanical Engineering, Smart Infrastructure, Predictive Maintenance 

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