Modeling of non-stationary vibration signals based on the modified Kronecker sequences

PAMM ◽  
2015 ◽  
Vol 15 (1) ◽  
pp. 195-196 ◽  
Author(s):  
Iulian Girip ◽  
Ligia Munteanu
Author(s):  
Christopher A. Lerch ◽  
Richard H. Lyon

Abstract A method termed harmonic tracking is developed to recover time dependent gear motion from machine casing vibration. The harmonic tracking method uses short-time spectral generation and a subsequent set of algorithms to locate and track gear meshing frequencies as functions of time. The meshing frequencies are then integrated with respect to time to obtain the rotation of individual gears. More specifically, spectral generation is performed using the discrete Fourier transform, and the locating and tracking algorithms involve locating tones in each short-time spectrum and tracking them through successive spectra to recover gear meshing harmonics. The harmonic tracking method is found to be more robust than demodulation-based methods in the presence of measurement noise and signal distortion from the structural transfer function between gears and the casing. The harmonic tracking method is tested, both through simulation and experiments involving motor-operated valves (MOV’s) as part of the development of a diagnostic system for MOV’s. In all cases, the harmonic tracking method is found to recover gear motion with sufficient accuracy to perform diagnostics. The harmonic tracking method should be generally applicable to situations in which a non-invasive technique is required for determining the time-dependent angular speeds and displacements of gearbox input, intermediary, and output shafts.


2021 ◽  
Vol 2108 (1) ◽  
pp. 012008
Author(s):  
Yousong Shi ◽  
Jianzhong Zhou

Abstract In actual field testing environments of hydropower units, unit vibration signals are often contaminated with noise. In order to obtain the real vibration signal, a multi-stage vibration signal denoise method SG-SVD-VMD is proposed for the guide bearing nonlinear and non-stationary vibration signals. And the root mean square error (RMSE) and signal to noise ratio (SNR) are used to evaluate the noise reduction ability of eight methods. The results show that the noise-canceling ability of this proposed method has improved to some extent. It can effectively suppress the noise of the hydropower units vibration signals. This method can effectively identify the shaft track and the running state of hydropower units.


2014 ◽  
Vol 687-691 ◽  
pp. 3794-3800
Author(s):  
Xi Cun You ◽  
Zhou Wan ◽  
Yi Yang Li ◽  
Hao Hua Liu ◽  
Zhuen Chen

For the non-stationary vibration signals of wind tower, using a new method based on KPCA to eliminate the interference of the vibration signal. After cancellation noise according to the method based on EMD, the vibration signals are decomposed and the vibration characteristics of the signals are finally extracted. The experimental analysis indicates that this method can provide an effective reference for the health detection of wind tower.


Sign in / Sign up

Export Citation Format

Share Document