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Based on Comb Wavelet Noise Reduction Method for Rotating Machinery Vibration Research


Volume 4-3 Bodhisattva z】 Zhai. A】. 2 Figure 550 times the average time after the signal waveform and frequency spectrum in Figure 2 a l_5 Bodhisattva t8o. 5o. 0.5 .1 I. Qu Zhen Jing 0.25 0 0.7505l approved the method in Figure 6 after the time waveform and the noise spectrum in Figure 3 Conclusion Based on the wavelet transform characteristics of the signal noise, a wavelet-based comb vibration of rotating machinery noising method. Shows the speed of rotating machinery based on wavelet comb order to determine the method. The simulation results verify the proposed method is equivalent to 50 times the average noise reduction. The method and timing of the proposed method and ordinary wavelet noise reduction on average compared with the following advantages 1. When the proposed method in noise reduction processing only one set of data,[link widoczny dla zalogowanych], so that the data collection requirements and signal processing time,[link widoczny dla zalogowanych], to be better than the average method. 2. Average method requires data of each group have the same starting point, while the proposed method since only one set of data processing. Therefore, this requirement does not exist on the data. This avoids the error caused by phase instability. 3. Compared with the ordinary wavelet noise reduction,[link widoczny dla zalogowanych], due to adopt a wavelet comb band-pass filter,[link widoczny dla zalogowanych], so the noise is better than the ordinary wavelet. References 1 Min Geng compliance. Several dynamic signal analysis, the average method and application. Vibration and Shock. 1994; l13 (2): 6O a strong 662-di Min. Rotating machine based on wavelet transform analysis of vibration signals maple research: [Ph.D. Thesis]. Harbin: Harbin Institute of Technology,[link widoczny dla zalogowanych], 19993C-ianpao [oEvangefista. Combandmultiplexedwavelettransformsandtheirapplicationstosignalprocessing. IEEETransactionsonSignalprocessing. 1994; 42 (2) :292-3034NurgunErdo1. Wavelettransformbasedadaptivefilters: analysisandnewresults. 1EEETransactiononSignalProcessing. 1996} 44 (9): 2l63-2171De-NoisingTechniqueforVibrationSignalsofRotatingMachineBasedonCombWaveletXuMinqiangWangRixlnZhangdiazhong (Dept.ofAstronauticsandMechanics-HarbinInstituteofTechnologyHarbin-150001) AbstractBasedonthestudyofwaveletde-noisingandthemethodoftimeaverage. itsdemonstratedthatthemostsuitabtebaseshouldbecombwaveletforeliminat [nghighlevelnoiseinvibrationsignals. Themethodofeliminatingstrongnoisebasedonthecombwaveletisinvestigated. Aneffectivede-nosingmethodforvibrationsignalasedoncombwaveletwaspresented · Weapplytheproposedmethodtosimulationdatashowingabetterperformanceofde-noisingonvibrationsignalofrotatingmachine. Keywords: vibrationsignal {noisecontrol {combwavelet spine the first King of the strong men. Researchers. September 1950 students. Tel: (0451) 6414479; E-mail: xumq @ hope. hit. edu. cn a husband Maoyichexin

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