基于振动信号分形维数的变压器松动诊断方法

基于变压器松动前后振动信号非线性特性的改变,提出采用振动信号时域波形的分形维数作为铁心、绕组松动诊断特征量。文中探讨了分形维数应用于变压器振动信号分析的可行性,根据分形理论,针对变压器振动模拟信号与实测信号分别进行了分形盒维数计算。结果表明,正常状态下不同变压器绕组振动信号分形盒维数集中于1.19,不同变压器铁心振动信号分形盒维数不同,但对于同一台变压器,其铁心振动信号分形盒维数具有稳定值。变压器松动故障后,铁心和绕组振动信号的分形维数均明显增大,分形维数能准确反映变压器正常与松动状态。     

Cooperative communications with hierarchical modulation in downlink OFDMA based cellular networks

Cooperative transmission is a promising way to improve system performance in orthogonal frequency division multiple access (OFDMA) based cellular networks.This paper proposes two heuristic cooperation ...     

Preparation,preliminary characterization and immunostimulatory activity of polysaccharide fractions from the peduncles of Hovenia dulcis

The peduncles of Hovenia dulcis, containing abundant nutrients and having a taste like a combination of raisin, clove, cinnamon and sugar, have been consumed as fruits and used as traditional herbal medicine for a long time in China. Up to date, little information is available about the polysaccharides from peduncles of H. dulcis (HDPS) and their potential bioactivity. In this study, three purified fractions were prepared by sequential purification of crude HDPS through ion-exchange chromatography and gel-filtration chromatography. The three fractions of HDPS-1, HDPS-2 and HDPS-3 were found to be homogeneous heteropolysaccharides mainly composed of rhamnose, arabinose, galactose and galacturonic acid with an average molecular weight of 235, 70 and 53 kDa, respectively. HDPS-3 was quite different from HDPS-1 and HDPS-2, as it contained much higher content of galacturonic acid (40.5%). In vitro immunostimulatory activity evaluation revealed that all the three fractions could significantly stimulate the proliferation of splenocytes and enhance phagocytosis, nitric oxide production and acid phosphatase activity of peritoneal macrophages, which suggested that HDPS had a potent immunostimulatory activity and could be explored as a potential natural immunomodulatory agent.     

云平台下全维度电力设备状态数据并行化处理技术

数据集成和信息共享是建立智能电网的必然趋势,设备状态数据越来越多地被发送到控制中心,如何快速处理大量的历史数据和实时在线监测数据成为亟待解决的问题。结合开源云平台和大型数据处理技术,对电力设备运行状态监控数据进行并行计算和诊断研究,提出基于Spark内存技术的集合经验模型的分解并行算法EEMD,以补偿复杂场景处理中HDoop Map Reduce的不足,设计实现了两种不同结构的并行EEMD算法,并通过对比实验分析算法的性能,研究工作可为我国电力设备状态数据并行处理技术的发展提供一定的参考和借鉴。     

基于收益分析的充电站选址规划模型

为了解决电动汽车充电站建站选址过程中出现的重复投入、资源浪费等问题,使其一方面可以满足电动汽车用户的充电需求,另一方面还可以提高自身经济收益,本文依据某公司车桩一体平台所采集的新能源车运行数据和充电桩充电数据,结合公司的实际投资建设需求,在充分考虑了充电站的经济收入和各类投资费用后,以最小扭亏为盈年限作为目标函数,建立了充电站选址规划模型。为了验证模型的正确性,我们在初步给定的15个预选站点中,采用差分进化算法进行模型求解,得出各站点最小扭亏为盈年限以及所需配备的充电桩的个数。根据模型求解结果,发现站点6是以收回投资成本的最短年限为依据的最佳站点,而以年均收入为依据的最佳站点是站点1,这是与实际工作经验想吻合的。     

Physicochemical properties and oral bioavailability of ursolic acid nanoparticles using supercritical anti-solvent (SAS) process

The objective of the study was to prepare ursolic acid (UA) nanoparticles using the supercritical anti-solvent (SAS) process and evaluate its physicochemical properties and oral bioavailability. The effects of four process variables, pressure, temperature, drug concentration and drug solution flow rate, on drug particle formation during SAS process, were investigated. Particles with mean particle size ranging from 139.2 ± 19.7 to 1039.8 ± 65.2 nm were obtained by varying the process parameters. The UA was characterised by scanning electron microscopy, X-ray diffraction, Fourier-transform infrared spectroscopy, thermal gravimetric analysis, specific surface area, dissolution test and bioavailability test. It was concluded that physicochemical properties and bioavailability of crystalline UA could be improved by physical modification, such as particle size reduction and generation of amorphous state using SAS process. Further, SAS process was a powerful methodology for improving the physicochemical properties and bioavailability of UA.     

Lead titanate nanotubes synthesized via ion-exchange method: Characteristics and formation mechanism

A two-step method is presented for the synthesis of one dimensional lead titanate (PbTi₃O₇) nanotubes. Firstly, titanate nanotubes were prepared by an alkaline hydrothermal process with TiO₂ nanopowder as precursor, and then lead titanate nanotubes were formed through an ion-exchange reaction. We found that sodium titanate nanotubes have ion exchangeability with lead ions, while protonated titanate nanotubes have not. For the first time, we distinguished the difference between sodium titanate nanotubes and protonated titanate nanotubes in the ion-exchange process, which reveals a layer space effect of nanotubes in the ion-exchange reaction. In comparison with sodium titanate, the synthesized lead titanate nanotubes show a narrowed bandgap.     

Estimating differential quantities from point cloud based on a linear fitting of normal vectors

Estimation of differential geometric properties on a discrete surface is a fundamental work in computer graphics and computer vision. In this paper, we present an accurate and robust method for estimating differential quantities from unorganized point cloud. The principal curvatures and principal directions at each point are computed with the help of partial derivatives of the unit normal vector at that point, where the normal derivatives are estimated by fitting a linear function to each component of the normal vectors in a neighborhood. This method takes into account the normal information of all neighboring points and computes curvatures directly from the variation of unit normal vectors, which improves the accuracy and robustness of curvature estimation on irregular sampled noisy data. The main advantage of our approach is that the estimation of curvatures at a point does not rely on the accuracy of the normal vector at that point, and the normal vectors can be refined in the process of curvature estimation. Compared with the state of the art methods for estimating curvatures and Darboux frames on both synthetic and real point clouds, the approach is shown to be more accurate and robust for noisy and unorganized point cloud data. Supported in part by the National Natural Science Foundation of China (Grant Nos. 60672148, 60872120), the National High-Tech Research & Development Program of China (Grant Nos. 2006AA01Z301, 2008AA01Z301), and Beijing Municipal Natural Science Foundation (Grant No. 4062033)