二维码(扫一下试试看!) | 基于改进的集合经验模态分解的爆破振动信号趋势项消除方法 | Trend Removing Method of Blasting Vibration Signals Based on MEEMD | 投稿时间:2020-04-03 | DOI:10.15918/j.tbit1001-0645.2020.052 | 中文关键词:爆破振动趋势项改进的集合经验模态分解均值比固有模态函数 | English Keywords:blasting vibrationtrendmodified ensemble empirical mode decomposition (MEEMD)mean ratiointrinsic mode function(IMF) | 基金项目:国家教育部基金资助项目(20100023110001) | | 摘要点击次数:387 | 全文下载次数:162 | 中文摘要: | 针对实测爆破振动信号中存在的趋势项干扰问题,基于改进的集合经验模态分解,提出一种趋势项消除方法,并进行了模拟信号的仿真计算和爆破振动信号的实例分析.信号仿真计算结果显示:对于持续振动信号,该方法的趋势项提取结果与已有的基于经验模态分解或集合经验模态分解的趋势项消除方法较为接近;但当测试信号呈间歇振动时,该方法对趋势项的提取更为充分,体现了其对分段爆破振动信号中趋势项消除的优越性和适用性.同时,爆破振动速度信号的实例分析验证了该方法在实际应用过程中的可靠性. | English Summary: | A trend removing method based on modified ensemble empirical mode decomposition (MEEMD) was proposed,to solve the trend interference problem existing in blasting vibration tests,and the extensive simulations of analog signals and the case analysis of blasting vibration signal were carried out. The extensive simulations show that the results of the proposed method for sustained vibration signals are close to the results of the existing trend removing methods based on empirical mode decomposition (EMD) or ensemble empirical mode decomposition (EEMD). When the test signals are intermittent,the proposed method can extract the trend more fully,which embodies its superiority and applicability to remove the trend in blasting vibration signal. In the meantime,the reliability of the proposed method in practical application was proved by the case analysis. | 查看全文查看/发表评论下载PDF阅读器 | |
上官卫华,李烨,吴敏.穿戴式心电信号伪差识别算法的研究及应用[J].北京理工大学学报(自然科学版),2021,41(6):665~670.SHANGGUANWeihua,LIYe,WUMin.ResearchandApplicationofArtifactIdentificationMethodfo ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21班晓娟,周靖,王笑琨,刘斯诺,徐衍睿.面向光滑粒子流体动力学(SPH)流体的湍流细节模拟[J].北京理工大学学报(自然科学版),2021,41(8):847~854.BANXiaojuan,ZHOUJing,WANGXiaokun,LIUSinuo,XUYanrui.TurbulenceDetail ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21沈斌松,秦建存.一种基于扩频信号的散射通信信噪比估计方法[J].北京理工大学学报(自然科学版),2021,41(8):873~877.SHENBinsong,QINJiancun.ANovelSNREstimationMethodBasedonSpreadSpectrumSignalinTropos ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21邓小英,于思齐,王士伟,谢奕.低阻硅TSV与铜填充TSV热力学特性对比分析[J].北京理工大学学报(自然科学版),2021,41(10):1109~1113.DENGXiaoying,YUSiqi,WANGShiwei,XIEYi.Thermal-MechanicalReliabilityChara ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21王江波,张天星,丁俊升,高光发,郑腾.骨料粒径对混凝土力学性能影响研究[J].北京理工大学学报(自然科学版),2021,41(11):1162~1170.WANGJiangbo,ZHANGTianxing,DINGJunsheng,GAOGuangfa,ZHENGTeng.InfluenceofAg ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21鲁怡,赵长禄,张付军,左哲,王瀚正.对置活塞液压输出发动机同步驱动机构动力学分析[J].北京理工大学学报(自然科学版),2019,39(1):28~33,52.LUYi,ZHAOChang-lu,ZHANGFu-jun,ZUOZhe,WANGHan-zheng.DynamicsAnalysisonS ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21陈树新,陈建华,吴昊,岳龙华.多径条件下GNSS干扰信号测向分布研究[J].北京理工大学学报(自然科学版),2019,39(4):359~364.CHENShu-xin,CHENJian-hua,WUHao,YUELong-hua.TheDirectionFindingDistributionofG ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21王延忠,赵维强,初晓孟,刘旸,苏国营.面齿轮车桥总成构型设计与动力学分析[J].北京理工大学学报(自然科学版),2019,39(5):486~490,496.WANGYan-zhong,ZHAOWei-qiang,CHUXiao-meng,LIUYang,SUGuo-ying.Configurati ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21周晓松,张焱冰,梅志远.复合材料球形阵列结构压入力学模型及弯曲变形协调机制[J].北京理工大学学报(自然科学版),2019,39(6):583~588,596.ZHOUXiao-song,ZHANGYan-bing,MEIZhi-yuan.IndentationMechanicalModelandD ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21严保康,周凤星,徐波.基于GST的变速机械故障信号稀疏特征提取方法[J].北京理工大学学报(自然科学版),2019,39(6):603~608.YANBao-kang,ZHOUFeng-xing,XUBo.SparseFeatureExtractionforVariableSpeedMachiner ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21
| |