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Springer Structural Health Monitoring: An Advanced Signal Processing Perspective: 26 (Smart Sensors, Measurement and Instrumentation, 26)

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Description

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.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
05 May 2017
Listed Since
23 February 2017

Barcode

No barcode data available

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