[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Yan et al., 2019 - Google Patents

Statistical modeling for fast Fourier transform coefficients of operational vibration measurements with non-Gaussianity using complex-valued t distribution

Yan et al., 2019

Document ID
15712281542088018813
Author
Yan W
Yang L
Yang X
Ren W
Publication year
Publication venue
Mechanical Systems and Signal Processing

External Links

Snippet

Frequency-domain operational vibration responses have been widely applied in structural health monitoring (SHM). Characterizing and quantifying their uncertainties are of fundamental importance for enhancing the robustness of SHM technologies. The classic …
Continue reading at www.sciencedirect.com (other versions)

Similar Documents

Publication Publication Date Title
Yan et al. Statistical modeling for fast Fourier transform coefficients of operational vibration measurements with non-Gaussianity using complex-valued t distribution
Ming et al. Weak fault feature extraction of rolling bearing based on cyclic Wiener filter and envelope spectrum
Srinivasan et al. Automatic oscillation detection and characterization in closed-loop systems
WO2019169544A1 (en) Sparse component analysis method for structural modal identification during quantity insufficiency of sensors
WO2019011025A1 (en) Finite element based method for identifying distributed random dynamic load
CN109558635B (en) Structural interval uncertainty damage identification method based on unit modal strain energy sensitivity
Dong et al. A frequency-shifted bispectrum for rolling element bearing diagnosis
CN103020479A (en) Signal instantaneous frequency estimation method based on nonlinear frequency modulation wavelet transformation
CN105973593A (en) Rolling bearing health evaluation method based on local characteristic scale decomposition-approximate entropy and manifold distance
Akçay Subspace-based spectrum estimation in frequency-domain by regularized nuclear norm minimization
CN102156873A (en) Chaos-based method for detecting and classifying early single-point faults of mechanical component
Sleziak et al. Advantages of a time series analysis using wavelet transform as compared with a fourier analysis
CN106548031A (en) A kind of Identification of Modal Parameter
Nasser et al. An automatic approach towards modal parameter estimation for high-rise buildings of multicomponent signals under ambient excitations via filter-free Random Decrement Technique
Bajric et al. Evaluation of damping estimates in the presence of closely spaced modes using operational modal analysis techniques
Kozłowski A Survey Length for AGN Variability Studies
Oveisi et al. Optimal input excitation design for nonparametric uncertainty quantification of multi-input multi-output systems
Bi et al. Analysis and evaluation of one-dimensional sea surface features based on FSV
Chen et al. Local whittle likelihood estimators and tests for spatial lattice data
Bin et al. Research on feature extraction method for fault diagnosis of rolling bearings based on wavelet packet decomposition
Choudhury Automatic detection and estimation of amplitudes and frequencies of multiple oscillations in process data
CN102680954B (en) Quantitative detection method of color noise correlation property based on autocorrelation function difference
Klejmova et al. Wavelet significance testing with respect to GWN background: Monte Carlo simulation usage
Zhang et al. Fatigue Crack Damage Detection Using Gaussian Mixture Model Based on Information Entropy Under Time-Varying Temperature
Guo et al. The application of energy operator demodulation approach based on EMD in mechanical system identification