Structural Health Monitoring: An Advanced Signal Processing Perspective
Ruqiang Yan · Xuefeng Chen · Subhas Chandra Mukhopadhyay
Apr 2017 · Smart Sensors, Measurement and Instrumentation Book 26 · Springer
Ebook
375
Pages
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About this ebook
This book highlights the latest advances and trends in advanced signal processing (such as wavelet theory, time-frequency analysis, empirical mode decomposition, compressive sensing and sparse representation, and stochastic resonance) for structural health monitoring (SHM). Its primary focus is on the utilization of advanced signal processing techniques to help monitor the health status of critical structures and machines encountered in our daily lives: wind turbines, gas turbines, machine tools, etc. As such, it offers a key reference guide for researchers, graduate students, and industry professionals who work in the field of SHM.
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