In this paper,we firstly establish a combinatorial identity with a free parameter x,and then by means of derivative operation,several summation formulae concerning classical and generalized harmonic numbers,as well as...In this paper,we firstly establish a combinatorial identity with a free parameter x,and then by means of derivative operation,several summation formulae concerning classical and generalized harmonic numbers,as well as binomial coefficients are derived.展开更多
In the paper we introduce an idea of harmonic functions with correlated coefficients which generalize the ideas of harmonic functions with negative coefficients introduced by Silverman and harmonic functions with vary...In the paper we introduce an idea of harmonic functions with correlated coefficients which generalize the ideas of harmonic functions with negative coefficients introduced by Silverman and harmonic functions with varying coefficients defined by Jahangiri and Silverman. Next we define classes of harmonic functions with correlated coefficients in terms of generalized Dziok-Srivastava operator. By using extreme points theory, we obtain estimations of classical convex functionals on the defined classes of functions. Some applications of the main results are also considered.展开更多
Perceiving harmonic information (especially weak harmonic information) in time series has important scientific and engineering significance. Fourier spectrum and time-frequency spectrum are commonly used tools for per...Perceiving harmonic information (especially weak harmonic information) in time series has important scientific and engineering significance. Fourier spectrum and time-frequency spectrum are commonly used tools for perceiving harmonic information, but they are often ineffective in perceiving weak harmonic signals because they are based on energy or amplitude analysis. Based on the theory of Normal time-frequency transform (NTFT) and complex correlation coefficient, a new type of spectrum, the Harmonicity Spectrum (HS), is developed to perceive harmonic information in time series. HS is based on the degree of signal harmony rather than energy or amplitude analysis, and can therefore perceive very weak harmonic information in signals sensitively. Simulation examples show that HS can detect harmonic information that cannot be detected by Fourier spectrum or time-frequency spectrum. Acoustic data analysis shows that HS has better resolution than traditional LOFAR spectrum.展开更多
To avoid the negative effects of disturbances on satellites,the characteristics of micro-vibration on flywheels are studied.Considering rotor imbalance,bearing imperfections and structural elasticity,the extended mode...To avoid the negative effects of disturbances on satellites,the characteristics of micro-vibration on flywheels are studied.Considering rotor imbalance,bearing imperfections and structural elasticity,the extended model of micro-vibration is established.In the feature extraction of micro-vibration,singular value decomposition combined with the improved Akaike Information Criterion(AIC-SVD)is applied to denoise.More robust and self-adaptable than the peak threshold denoising,AIC-SVD can effectively remove the noise components.Subsequently,the effective harmonic coefficients are extracted by the binning algorithm.The results show that the harmonic coefficients have great identification in frequency domain.Except for the fundamental frequency caused by rotor imbalance,the harmonics are also caused by the coupling of imperfections on bearing components.展开更多
大量电力电子设备的接入导致电力系统中背景谐波波动增大,进而影响谐波阻抗估计的准确性。针对这一问题,该文提出一种基于窗宽优化与数据筛选原理的系统谐波阻抗估计方法。首先,在相关系数数据中引入标准差的指标动态调整窗宽,得到满足...大量电力电子设备的接入导致电力系统中背景谐波波动增大,进而影响谐波阻抗估计的准确性。针对这一问题,该文提出一种基于窗宽优化与数据筛选原理的系统谐波阻抗估计方法。首先,在相关系数数据中引入标准差的指标动态调整窗宽,得到满足筛选样本数量的计算数据,然后利用PCC(point of common coupling)点处谐波电流与系统侧谐波电流呈弱相关的特性筛选出相应数据段,最后引入正则化项进行系统侧谐波阻抗的计算。通过仿真分析和数据计算,将所提出的方法与4种常用方法进行了比较,可以得出当背景谐波波动较大时,该方法可以减少系统谐波阻抗计算的误差,有较高的估计精度。展开更多
设p>3为素数.对任何p-adic整数a,我们决定出p−1 X k=0 −k a a−1 k Hk,p−1 X k=0 −k a a−1 k Hk(2),p−1 X k=0 −k a a−1 k H(2)k 2k+1模p 2,其中Hk=P 0<j<k 1/j且Hk(2)=P 0<j>k 1/j2.特别地,我们证明了p−1 X k=0 −k a a−1...设p>3为素数.对任何p-adic整数a,我们决定出p−1 X k=0 −k a a−1 k Hk,p−1 X k=0 −k a a−1 k Hk(2),p−1 X k=0 −k a a−1 k H(2)k 2k+1模p 2,其中Hk=P 0<j<k 1/j且Hk(2)=P 0<j>k 1/j2.特别地,我们证明了p−1 X k=0 −k a a−1 k Hk≡(−1)p 2(Bp−1(a)−Bp−1)(mod p),p−1 X k=0 −k a a−1 k Hk(2)≡−Ep−3(a)(mod p),(2a−1)p−1 X k=0 −k a a−1 k H(2)k 2k+1≡Bp−2(a)(mod p)其中p表示满足a≤r(mod p)的最小非负整数r,Bn(x)与En(x)分别表示次数为n的伯努利多项式与欧拉多项式.展开更多
新型电力系统中高比例可再生能源和高比例电力电子设备接入的特征带来异于传统电网下的谐波交互问题,多变流器拓扑的谐波耦合交互特性亟待研究。首先,基于谐波状态空间(harmonic state space,HSS)对多变流器并网系统(multiple grid-conn...新型电力系统中高比例可再生能源和高比例电力电子设备接入的特征带来异于传统电网下的谐波交互问题,多变流器拓扑的谐波耦合交互特性亟待研究。首先,基于谐波状态空间(harmonic state space,HSS)对多变流器并网系统(multiple grid-connected-converter system,MGCCS)建立考虑谐波耦合的谐波传递函数矩阵模型,综合考虑了系统各控制环节对状态变量的影响以及变流器的级联、并联。其次,基于所建HSS模型明确定义谐波耦合系数,并用于揭示多变流器拓扑的谐波耦合机理,分析级联、并联变流器谐波交互特性。然后,应用谐波耦合系数量化分析MGCCS中滤波电感、电流环、锁相环等关键参数对系统谐波交互的影响。最后,将HSS模型和Matlab/Simulink模型、RT-LAB模型的结果进行对比,验证了所建HSS模型的精确性,以及谐波耦合系数理论应用于系统交直流谐波交互分析的有效性。展开更多
基金Supported by Zhoukou Normal University High-Level Talents Start-Up Funds Research Project(Grant No.ZKNUC2022007)the Postgraduate Research&Practice Innovation Program of Jiangsu Province(Grant No.KYCX240725).
文摘In this paper,we firstly establish a combinatorial identity with a free parameter x,and then by means of derivative operation,several summation formulae concerning classical and generalized harmonic numbers,as well as binomial coefficients are derived.
基金supported by the Centre for Innovation and Transfer of Natural Sciences and Engineering Knowledge,University of Rzeszów
文摘In the paper we introduce an idea of harmonic functions with correlated coefficients which generalize the ideas of harmonic functions with negative coefficients introduced by Silverman and harmonic functions with varying coefficients defined by Jahangiri and Silverman. Next we define classes of harmonic functions with correlated coefficients in terms of generalized Dziok-Srivastava operator. By using extreme points theory, we obtain estimations of classical convex functionals on the defined classes of functions. Some applications of the main results are also considered.
文摘Perceiving harmonic information (especially weak harmonic information) in time series has important scientific and engineering significance. Fourier spectrum and time-frequency spectrum are commonly used tools for perceiving harmonic information, but they are often ineffective in perceiving weak harmonic signals because they are based on energy or amplitude analysis. Based on the theory of Normal time-frequency transform (NTFT) and complex correlation coefficient, a new type of spectrum, the Harmonicity Spectrum (HS), is developed to perceive harmonic information in time series. HS is based on the degree of signal harmony rather than energy or amplitude analysis, and can therefore perceive very weak harmonic information in signals sensitively. Simulation examples show that HS can detect harmonic information that cannot be detected by Fourier spectrum or time-frequency spectrum. Acoustic data analysis shows that HS has better resolution than traditional LOFAR spectrum.
基金National Natural Science Foundation of China(No.U1831123)Fundamental Research Funds for the Central Universities,China(No.2232017A3-04)。
文摘To avoid the negative effects of disturbances on satellites,the characteristics of micro-vibration on flywheels are studied.Considering rotor imbalance,bearing imperfections and structural elasticity,the extended model of micro-vibration is established.In the feature extraction of micro-vibration,singular value decomposition combined with the improved Akaike Information Criterion(AIC-SVD)is applied to denoise.More robust and self-adaptable than the peak threshold denoising,AIC-SVD can effectively remove the noise components.Subsequently,the effective harmonic coefficients are extracted by the binning algorithm.The results show that the harmonic coefficients have great identification in frequency domain.Except for the fundamental frequency caused by rotor imbalance,the harmonics are also caused by the coupling of imperfections on bearing components.
文摘大量电力电子设备的接入导致电力系统中背景谐波波动增大,进而影响谐波阻抗估计的准确性。针对这一问题,该文提出一种基于窗宽优化与数据筛选原理的系统谐波阻抗估计方法。首先,在相关系数数据中引入标准差的指标动态调整窗宽,得到满足筛选样本数量的计算数据,然后利用PCC(point of common coupling)点处谐波电流与系统侧谐波电流呈弱相关的特性筛选出相应数据段,最后引入正则化项进行系统侧谐波阻抗的计算。通过仿真分析和数据计算,将所提出的方法与4种常用方法进行了比较,可以得出当背景谐波波动较大时,该方法可以减少系统谐波阻抗计算的误差,有较高的估计精度。
基金Supported by the National Natural Science Foundation of China(11971222)the initial version was posted to arXiv in 2014 with the ID arXiv:1407.8465.
文摘设p>3为素数.对任何p-adic整数a,我们决定出p−1 X k=0 −k a a−1 k Hk,p−1 X k=0 −k a a−1 k Hk(2),p−1 X k=0 −k a a−1 k H(2)k 2k+1模p 2,其中Hk=P 0<j<k 1/j且Hk(2)=P 0<j>k 1/j2.特别地,我们证明了p−1 X k=0 −k a a−1 k Hk≡(−1)p 2(Bp−1(a)−Bp−1)(mod p),p−1 X k=0 −k a a−1 k Hk(2)≡−Ep−3(a)(mod p),(2a−1)p−1 X k=0 −k a a−1 k H(2)k 2k+1≡Bp−2(a)(mod p)其中p表示满足a≤r(mod p)的最小非负整数r,Bn(x)与En(x)分别表示次数为n的伯努利多项式与欧拉多项式.
文摘新型电力系统中高比例可再生能源和高比例电力电子设备接入的特征带来异于传统电网下的谐波交互问题,多变流器拓扑的谐波耦合交互特性亟待研究。首先,基于谐波状态空间(harmonic state space,HSS)对多变流器并网系统(multiple grid-connected-converter system,MGCCS)建立考虑谐波耦合的谐波传递函数矩阵模型,综合考虑了系统各控制环节对状态变量的影响以及变流器的级联、并联。其次,基于所建HSS模型明确定义谐波耦合系数,并用于揭示多变流器拓扑的谐波耦合机理,分析级联、并联变流器谐波交互特性。然后,应用谐波耦合系数量化分析MGCCS中滤波电感、电流环、锁相环等关键参数对系统谐波交互的影响。最后,将HSS模型和Matlab/Simulink模型、RT-LAB模型的结果进行对比,验证了所建HSS模型的精确性,以及谐波耦合系数理论应用于系统交直流谐波交互分析的有效性。