Cover Image
Read Now

Structural Health Monitoring An Advanced Signal Processing Perspective

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 t...

Full description

Bibliographic Details
Other Authors: Yan, Ruqiang (Editor), Chen, Xuefeng (Editor), Mukhopadhyay, Subhas Chandra (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2017, 2017
Edition:1st ed. 2017
Series:Smart Sensors, Measurement and Instrumentation
Subjects:
Measurement
Industrial Engineering
Biomedical Engineering
Biomedical Engineering And Bioengineering
Industrial And Production Engineering
Signal, Speech And Image Processing
Measuring Instruments
Signal Processing
Production Engineering
Measurement Science And Instrumentation
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Description
Summary: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.
Physical Description:XI, 375 p. 284 illus., 175 illus. in color online resource
ISBN:9783319561264

Similar Items