This presents a comprehensive review of the applications in time, frequency, and time-frequency domains of signal processing techniques for damage perception, localization, and quantification in various structural systems. It covers a range of experimental techniques and introduces ANNs for automated damage identification.
Structural Health Monitoring Using Emerging Signal Processing Approaches with Artificial Intelligence Algorithms
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This presents a comprehensive review of the applications in time, frequency, and time-frequency domains of signal processing techniques for damage perception, localization, and quantification in various structural systems. It covers a range of experimental techniques and introduces ANNs for automated damage identification.
This conference proceedings contains all papers, presented at the Second International Conferenceon Advances in Signal Processing and Artificial Intelligence (ASPAI' 2020), 18-20 November 2020. The...
This book focuses on artifi cial intelligence in the fi eld of digital signal processing and wireless communication. The implementation of machine learning and deep learning in audio, image, and...
This book provides insights into sensor development for structural health monitoring. Current technological advances mean that the field is changing rapidly, making standardization an ongoing...
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