Structural Health Monitoring
-15%
portes grátis
Structural Health Monitoring
An Advanced Signal Processing Perspective
Chen, Xuefeng; Yan, Ruqiang; Mukhopadhyay, Subhas Chandra
Springer International Publishing AG
07/2018
375
Mole
Inglês
9783319858326
15 a 20 dias
5854
Descrição não disponível.
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Structural Health Monitoring;Signal Processing;Condition Monitoring;Fault Diagnostics;Wavelet Theory;Time-frequency Analysis;Empirical Mode Decomposition;Sparse Representation;Wind Turbine;Gas Turbine;Machine Tools
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
