振动信号趋势项提取方法研究.pdf《振动信号趋势项提取方法研究》pdf文档。主要介绍振动信号趋势项的

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详细说明：《振动信号趋势项提取方法研究》pdf文档。主要介绍振动信号趋势项的提取4 2017 EMD 0.6·c0s2 50·1+0.4·cos2丌·100·t 3 b 1=0.5-0.4 t2=0.7+0.2t+0.05t2+0.002t3 3=0.3exp-1 EMD EMD 101 2.5 0.5 EMD 02040.60.8100.20.40.608 (a)振动速度信号 (b)位移信号图3 5.1 -0.5 00.10.20.3040.50.60.70.80.9 图1仿真信号波形 EMD趋势项实际趋势项 0 2.5 10 0.6 0.4 0.5 (a) 0.I0.20.30.40.50.60.7080.9 图2EMD趋势项与实际趋势项比较 0020.40.6081002040.60.81 图4去直流后的速度信号及相应的位移信号 (c)1994-2019ChinaAcademicJournalElectronicPublishingHouse.Allrightsreservedhttp://www.cnki.net 5.2 EMD EMD EMD 00102030405060.7080970wwmw AM△ DMA 00l 0.02 00.10.203040.5060708O970.028M 00.10.20.30.40.50.60.70.80.91 00.10.20.3040.50.60.70.80.91 0.10.20.3040.50.60.70.8 0.10 40.50.60.70.80.9 opam 00.10.20.30.40.50.60.70.80.91 0.10.203040.50.60.7080.9 0.10.20.30.40.50.60.70.80.9 四心 00.10.20.30.40.50.60.70.809 MA一 00.10.20.3040.50.60.70.8091 0.10.2 40.50.6070.809 10.20 0.50.60.70.8 0.9 0.0 0.0 00.10.20.3040.50.60.70.8091 0.10.20.3040.50.60.70.80.9 00.10.20.30.40.50.60.70.80.9 00l 00.10.20.3040.50.60.70.80.91 00.10.20.30.40.50.60.70.80.9 0.10.20.30.40.50.60.7080.9 10.20.3040.50.60.70.80.9 00.l0,20.30.40.50.60.70.80.9 00.10.20.30.40.50.60.70.80.9 图5实测振动信号的EMD结果 EMD IME 6 EMD 7 IMF EMD IMF IME 65.781.370.28-0.500.13-1.660.4965.66 252.140.080.360.37-0.220.066.7444.76 s850.010.46-0.04-0.02|28.18-18 10 0.40.608 00.2040.60.81 060.8 图6振动信号重构结果 15 (c)1994-2019ChinaAcademicJournalElectronicPublishingHouse.Allrightsreservedhttp://www.cnki.net 26 2017 0.01 dl4、coi4 0.001 0.0001 4 EMD 12 EMD方法提取的趋势项 0.02 EMD方法去趋势项后的重构信号 0.0l 0.01 0005 00.10.20304050.60.7080.9 9层小波分解时提取的趋势项 0.1020.3040.5060.70.80.9 9层小波分解时的重构信号 0.01 0.005 oHnbrinlunjww 00.10.20.30.40.50.60.70.809 10层小波分解时提取的趋势项 00.1 0304050.60.70.80,9 0.02 10层小波分解时的重构信号 0.015 0.01 0.005 0.10.20.30.40.50.60.70.809 1层小波分解时提取的趋势项 0.02 00.10.20.3040.50.60.70.80.9 11层小波分解时的重构信号 0015 0.01 0.005 0.40.50.60.70.809 12层小波分解时提取的趋势项 00.10.20.3040.50.60.70.8091 0.02 12层小波分解时的重构信号 0015 0.01 0.10.20.30.40.50.60.7080.91 图7趋势项提取结果比较 00.10.20.30.40.50.60.70.80.9 2 n MF 图8信号重构结果比较 15 IMF 2 0.080 0.811.031.097.8352.59 IMF 7 IMF 3 0.010470.510.5328.7140.3912.03 7、8 9、10、11、12 IMF EMD EMD (c)1994-2019ChinaAcademicJournalElectronicPublishingHouse.Allrightsreservedhttp://www.cnki.net 15 2009302597 -603 EMD Qu Cong-shan Xu Hua-ong Tan Ying et al. Trend tion from laser gyro drift data based on modified empirical 15 mode decomposition J. Journal of Astronautics 2009 30 597-603. in chi 2015352118 122 Wang Yan Xue Yun-hao ma Tie-lua Research on zero drift processing method using EMD and least-square J Transactions of Beijing Institute of Technology 2015 35 EMD nes 15 2013433764-770 Lei da Zhong shi-sheng. Aircraft engine health signal de 15 noising based on singular value dccomposition and empiri cal mode decomposition methods J. Journal of Jilin Uni versity F ngineering anrl Technology Edition 2013 43 3 764-770. in Chinesc 8 Jing liang Sun Huanye Sheng. A hy brid detrending method for fractional Gaussian noise j. Physica A 2011 390 172995-3001 2005252101-104 9 Y H Dong jX Zhang. Trend extraction in vibration signal Chen Jun Xu Youlin. Application of EMD to signal trent based un EMD J. Advanced Malerials Research 2012 extraction J. 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