Electroelastic nonstationary vibration of a piezoceramic layer

2009 ◽  
Vol 45 (3) ◽  
pp. 282-289 ◽  
Author(s):  
N. A. Shul’ga ◽  
L. O. Grigor’eva
Keyword(s):  
Nonstationary Vibration ◽  
Piezoceramic Layer

Wavelet decomposition and nonlinear prediction of nonstationary vibration signals

2020 ◽  
Vol 51 (3) ◽  
pp. 52-59 ◽  
Author(s):  
Xiao-bin Fan ◽  
Bin Zhao ◽  
Bing-xu Fan
Keyword(s):  
Wavelet Decomposition ◽  
Wavelet Packet ◽  
Prediction Method ◽  
Vibration Signal ◽  
Signal Denoising ◽  
Maximum Lyapunov Exponent ◽  
Nonlinear Prediction ◽  
Local Method ◽  
Time Frequency ◽  
Nonstationary Vibration

In order to overcome the shortcomings (such as the time–frequency localization and the nonstationary signal analysis ability) of the Fourier transform, time–frequency analysis has been carried out by wavelet packet decomposition and reconstruction according to the actual nonstationary vibration signal from a large equipment located in a large Steel Corporation in this article. The effect of wavelet decomposition on signal denoising and the selection of high-frequency weight coefficients for each layer on signal denoising were analyzed. The nonlinear prediction of the chaotic time series was made by global method, local method, weighted first-order local method, and maximum Lyapunov exponent prediction method correspondingly. It was found the multi-step prediction method is better than other prediction methods.

Time-Varying Motion Filtering for Vision-Based Nonstationary Vibration Measurement

2020 ◽  
Vol 69 (6) ◽  
pp. 3907-3916
Author(s):  
Zhen Liu ◽  
Qingbo He ◽  
Shiqian Chen ◽  
Zhike Peng ◽  
Wenming Zhang
Keyword(s):  
Vibration Measurement ◽  
Time Varying ◽  
Nonstationary Vibration

scholarly journals Health Monitoring for a Structure Using Its Nonstationary Vibration

2010 ◽  
Vol 2010 ◽  
pp. 1-5 ◽  
Author(s):  
Yoshimutsu Hirata ◽  
Mikio Tohyama ◽  
Mitsuo Matsumoto ◽  
Satoru Gotoh
Keyword(s):  
Frequency Distribution ◽  
Robust Estimation ◽  
Health Monitoring ◽  
Dynamic Property ◽  
Short Interval ◽  
Model Structure ◽  
Nonstationary Vibration ◽  
Stationary Vibration

The frequency distribution of a short interval period, the SIP distribution, obtained from the vibration of a structure that is excited by the force of non-stationary vibration is available for the robust estimation of the dynamic property of the structure. This paper shows experiments of the health monitoring of a model structure using the SIP distribution. Comparisons of SIP distributions with average DFT spectra are also shown.

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