欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
It has been challenging to correctly separate the mixed signals into source components when the source number is not known a priori.To reveal the complexity of the measured vibration signals,and provide the priori information for the blind source separation,in this paper,we propose a novel source number estimation based on independent component analysis(ICA)and clustering evaluation analysis,and then carry out experiment studies with typical mechanical vibration signals from a shell structure.The results demonstrate that the proposed ICA based source number estimation performs stably and robustly for the shell structure.
英文摘要：
It has been challenging to correctly separate the mixed signals into source components when the source number is not known a priori.To reveal the complexity of the measured vibration signals,and provide the priori information for the blind source separation,in this paper,we propose a novel source number estimation based on independent component analysis(ICA)and clustering evaluation analysis,and then carry out experiment studies with typical mechanical vibration signals from a shell structure.The results demonstrate that the proposed ICA based source number estimation performs stably and robustly for the shell structure.
同期刊论文项目
同项目期刊论文
Fault diagnosis for speed-up and speed-down process of rotor-bearing system based on volterra series
The weak fault diagnosis and condition monitoring of rolling element bearing using minimum entropy d
A comparative study of information-based source number estimation methods and experimental validatio
Multi-fault classification based on wavelet SVM with PSO algorithm to analyze vibration signals from
Micromechanical modeling on the rate-dependent viscoplastic behavior of polymer composites with ther
Source Contribution Evaluation of Mechanical Vibration Signals via Enhanced Independent Component An
Micromechanical analysis of off-axis loading of fiber reinforced composites with imperfect interface
Free vibration and buckling analysis of plates using B-spline wavelet on the interval Mindlin elemen
A gamma Bayesian exponential model for computing and updating residual life distribution of bearings
The construction of multivariable Reissner-Mindlin plate elements based on B-spline wavelet on the i
Application of local mean decomposition to the surveillance and diagnostics of low-speed helical gea
Operation Reliability Assessment for Cutting Tools by Applying a Proportional Covariate Model to Con
Weak fault feature extraction of rolling bearing based on cyclic Wiener filter and envelope spectrum
Diversity enhanced and local search accelerated gravitational search algorithm for data fitting with
A new method of blind extraction of the cyclostationary signals and its applications to rotary machi
Construction of customized redundant multiwavelet via increasing multiplicity for fault detection of
An improved time-varying mesh stiffness algorithm and dynamic modeling of gear-rotor system with too
A joint stiffness identification method based on finite element modeling and frequency response func
Sparsity-enabled signal decomposition using tunable Q-factor wavelet transform for fault feature ext
Remaining life prognostics of rolling bearing based on relative features and multivariable support v
A new noise-controlled second-order enhanced stochastic resonance method with its application in win
Application of convolved blind separation based on second-order cyclic statistics in rolling element
Improved spectral kurtosis with adaptive redundant multiwavelet packet and its applications for rota
Compound faults detection of rotating machinery using improved adaptive redundant lifting multiwavel
Adaptive redundant multiwavelet denoising with improved neighboring coefficients for gearbox fault d
Fault feature extraction of gearbox by using overcomplete rational dilation discrete wavelet transfo
Noise resistant time frequency analysis and application in fault diagnosis of rolling element bearin
Wigner-Ville distribution based on cyclic spectral density and the application in rolling element be
Investigations of denoising source separation technique and its application to source separation and
Tunable Q-factor wavelet transform denoising with neighboring coefficients and its application to ro
Vibration Analysis of Curved Shell using B-spline Wavelet on the Interval (BSWI) Finite Elements Met
Multiwavelet denoising using SureBlock thresholding and its application in the gearbox fault diagnos
A demodulating approach based on local mean decomposition and its applications in mechanical fault d
A multichannel fusion approach based on coupled hidden Markov models for rolling element bearing fau
Maximal-overlap adaptive multiwavelet for detecting transient vibration responses from dynastic sign
Method for Vibration Response Simulation and Sensor Placement Optimization of a Machine Tool Spindle
Fault feature enhancement of gearbox in combined machining center by using adaptive cascade stochast
The multivariable finite elements based on B-spline wavelet on the interval for 1D structural mechan
Steam turbine rotor crack detection using sifting process of EMD and B-spline wavelet on the interva
A Monotonic Degradation Assessment Index of Rolling Bearings Using Fuzzy Support Vector Data Descrip
Independent component analysis based source number estimation and its comparison for mechanical syst
The influence of crack breathing and imbalance orientation angle on the characteristics of the criti
Study of characteristic variations of high-speed spindles induced by centrifugal expansion deformati
Zero crossing and coupled hidden Markov model for a rolling bearing performance degradation assessme
Singular spectrum analysis and continuous hidden Markov model for rolling element bearing fault diag
Automatic fault feature extraction of mechanical anomaly on induction motor bearing using ensemble s
Operation Reliability Estimation Based on Degradation Feature Extraction from Censored Data of Cutti
Intelligent fault diagnosis of rolling bearing based on kernel neighborhood rough sets and statistic
A comprehensive study of vibration signals for a thin shell structure using enhanced independent com
Dynamic modeling and vibration response simulation for high speed rolling ball bearings with localiz
Performance degradation assessment of rolling bearing based on bispectrum and support vector data de
期刊信息
位置：