Loading…
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...
| Corporate Author: | |
|---|---|
| Other Authors: | , , |
| Format: | e-Book |
| Language: | English |
| Published: |
Cham :
Springer International Publishing :
2017.
Imprint: Springer, |
| Edition: | 1st ed. 2017. |
| Series: | Smart Sensors, Measurement and Instrumentation,
26 |
| Subjects: | |
| Online Access: | Full-text access |
Table of Contents:
- 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.