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New method to solve electromagnetic parabolic equation 被引量:2
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作者 赵小峰 黄思训 康林春 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI 2013年第11期1373-1382,共10页
This paper puts forward a new method to solve the electromagnetic parabolic equation (EMPE) by taking the vertically-layered inhomogeneous characteristics of the atmospheric refractive index into account. First, the... This paper puts forward a new method to solve the electromagnetic parabolic equation (EMPE) by taking the vertically-layered inhomogeneous characteristics of the atmospheric refractive index into account. First, the Fourier transform and the convo- lution theorem are employed, and the second-order partial differential equation, i.e., the EMPE, in the height space is transformed into first-order constant coefficient differential equations in the frequency space. Then, by use of the lower triangular characteristics of the coefficient matrix, the numerical solutions are designed. Through constructing ana- lytical solutions to the EMPE, the feasibility of the new method is validated. Finally, the numerical solutions to the new method are compared with those of the commonly used split-step Fourier algorithm. 展开更多
关键词 electromagnetic parabolic equation empe Fourier transform convolu-tion theorem
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A Novel Hybrid Solution for Load Commu-tated Inverter-Fed Induction Motor Drives
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《变频器世界》 2004年第4期30-32,共3页
The general control block diagram ofthe proposed hybrid inverter based ac driveis shown in Fig. 6. The overall control strat-egy is composed of two main control loops.
关键词 LCI 感应电机 变极器 empe
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基于参数优化VMD和增强多尺度排列熵的单向阀故障诊断 被引量:24
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作者 潘震 黄国勇 吴漫 《振动与冲击》 EI CSCD 北大核心 2020年第15期118-125,共8页
针对高压隔膜泵机械结构复杂,单向阀故障特征信息分布在多尺度上,单一尺度难以全面提取特征的问题,提出了一种基于参数优化变分模态分解(Variational Mode Decomposition,VMD)和增强多尺度排列熵(Enhanced Multi-scale Permutation Entr... 针对高压隔膜泵机械结构复杂,单向阀故障特征信息分布在多尺度上,单一尺度难以全面提取特征的问题,提出了一种基于参数优化变分模态分解(Variational Mode Decomposition,VMD)和增强多尺度排列熵(Enhanced Multi-scale Permutation Entropy,EMPE)的单向阀故障诊断方法。对单向阀振动信号进行VMD分解,以包络熵最小原则对其进行参数优化,获得既定的若干本征模态函数(Intrinsic Mode Function,IMF)分量;计算IMF分量的增强多尺度排列熵,构建故障特征值向量;利用基于变量预测模型的模式识别(Variable Predictive Model Based Class Discriminate,VPMCD)方法对故障特征值向量进行训练和识别,进而实现单向阀的故障诊断。仿真信号和工程实验分析表明,该方法可以准确地识别单向阀的故障类型,具有一定的可靠性和工程应用价值。 展开更多
关键词 变分模态分解 增强多尺度排列熵 基于变量预测模型的模式识别 单向阀 故障诊断
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