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書名 Structural health monitoring : an advanced signal processing perspective / edited by Ruqiang Yan, Xuefeng Chen, Subhas Chandra Mukhopadhyay
出版項 Cham : Springer International Publishing : Imprint: Springer, 2017
國際標準書號 9783319561264 (electronic bk.)
9783319561257 (paper)
國際標準號碼 10.1007/978-3-319-56126-4 doi
book jacket
說明 1 online resource (xi, 375 pages) : illustrations (some color), digital ; 24 cm
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
系列 Smart sensors, measurement and instrumentation, 2194-8402 ; volume 26
Smart sensors, measurement and instrumentation ; volume 26
附註 Advanced Signal Processing for Structural Health Monitoring -- Signal Post-Processing for Accurate Evaluation of the Natural Frequencies -- Holobalancing Method and its Improvement by Reselection of Balancing Object -- Wavelet Transform Based On Inner Product for Fault Diagnosis of Rotating Machinery -- Wavelet Based Spectral Kurtosis and Kurtogram: A Smart and Sparse Characterization of Impulsive Transient Vibration -- Time-Frequency Manifold for Machinery Fault Diagnosis -- Matching Demodulation Transform and its Application in Machine Fault Diagnosis -- Compressive Sensing: A New Insight to Condition Monitoring of Rotary Machinery -- Sparse Representation of the Transients in Mechanical Signals -- Fault Diagnosis of Rotating Machinery Based on Empirical Mode Decomposition -- Bivariate Empirical Mode Decomposition and Its Applications in Machine Condition Monitoring -- Time-Frequency Demodulation Analysis Based on LMD and Its Applications -- On The Use of Stochastic Resonance in Mechanical Fault Signal Detection
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
Host Item Springer eBooks
主題 Structural health monitoring
Engineering
Signal, Image and Speech Processing
Biomedical Engineering
Industrial and Production Engineering
Measurement Science and Instrumentation
Alt Author Yan, Ruqiang, editor
Chen, Xuefeng, editor
Mukhopadhyay, Subhas Chandra, editor
SpringerLink (Online service)
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