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...
| Συγγραφή απο Οργανισμό/Αρχή: | |
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| Άλλοι συγγραφείς: | , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
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| Σειρά: | Smart Sensors, Measurement and Instrumentation,
26 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.
