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作 者:CHENG Gen-yin YU Sheng-chen CHEN Shao-jie WEI Zhi-yong ZHANG Xiao-chen
机构地区:[1]College of Safety Engineering, North China Institute of Science and Technology, Beijing 101601, China [2]College of Computer Science, North China Institute of Science and Technology, Beijing 101601, China [3]Environment Noise and Vi-bration Control Technology Center, Beijing Municipal Institute of Labour Protection, Nanjing 210096, China
出 处:《Journal of Coal Science & Engineering(China)》2010年第4期394-399,共6页煤炭学报(英文版)
基 金:Supported by the National Natural Science Fundation of China(50974061);the Natural Science Fundation of Hebei Province(E2009001420)
摘 要:In order to determine the characteristics of noise source accurately, the noisedistribution at different frequencies was determined by taking the differences into accountbetween aerodynamic noises, mechanical noise, electrical noise in terms of in frequencyand intensity.Designed a least squares wavelet with high precision and special effects forstrong interference zone (multi-source noise), which is applicable to strong noise analysisproduced by underground mine, and obtained distribution of noise in different frequencyand achieves good results.According to the results of decomposition, the characteristicsof noise sources production can be more accurately determined, which lays a good foundationfor the follow-up focused and targeted noise control, and provides a new methodthat is greatly applicable for testing and analyzing noise control.In order to determine the characteristics of noise source accurately, the noise distribution at different frequencies was determined by taking the differences into account between aerodynamic noises, mechanical noise, electrical noise in terms of in frequency and intensity. Designed a least squares wavelet with high precision and special effects for strong interference zone (multi-source noise), which is applicable to strong noise analysis produced by underground mine, and obtained distribution of noise in different frequency and achieves good results. According to the results of decomposition, the characteristics of noise sources production can be more accurately determined, which lays a good foun- dation for the follow-up focused and targeted noise control, and provides a new method that is greatly applicable for testing and analyzing noise control.
关 键 词:noise source noise control wavelet transform least squares wavelet
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