Role of electron-phonon interaction in lattice dynamics and superconductivity of oxide spinel LiTi2O4

The lattice dynamics of an oxide spinel LiTi₂O₄ is studied by taking account of the electron-phonon (EP) interaction derived on the basis of the realistic tight-binding bands fitted to the first-principles bands. Due to the characteristic dependences of the EP interaction on wavevectors and vibrational modes, a remarkable frequency renormalization of the O vibrational modes, which hybridize with the Ti vibrational modes, is obtained over a wide region of the Brillouin zone. The overall features of the calculated phonon density of states are in agreement with those observed by the inelastic neutron scattering measurements. By using the EP interaction and the renormalized phonon frequencies we have calculated the EP spectral function ² F(). The superconducting transition temperature, gap function, and tunneling spectra are calculated by solving the Éliashberg equation. The results agree well with the observations.     

类氖钼基态到（n＝3，4）88个能级的碰撞强度

采用“快速”扭曲波方法和程序ＭＣＤＷ（九）,计算了类氖钼基态到８８个（ｎ４）激发态能级的电子碰撞激发截面,并与国外完全相对论理论数据进行了详细比较,一般差别在１０％左右,表明作者发展与建立的一套方法和程序不仅实现了“快速”计算而且有相当高的精度。     

Analysis of intermediate boson spectra from FIR data for HTSC and heavy fermion systems

Calculations of the effect of intermediate bosons on the optical properties of the normal state are used to analyze the spectra of these bosons. For high temperature superconductors these spectra are in agreement with the standard electron-phonon model (the end of the spectrum is near 800 cm^–1) with a moderate coupling constant =1–1.5. For the heavy fermion compound UPt₃ the spectrum of intermediate bosons is consistent with neutron data for spin fluctuations.This work was partially supported by ISF and RFFI (No 94-02-04186a) grants.     

User productivity as a function of AutoCAD interface design

Increased operator productivity is a desired outcome of user-CAD interaction scenarios. Two objectives of this research were to (1) define a measure of operator productivity and (2) empirically investigate the potential effects of CAD interface design on operator productivity, where productivity is defined as the percentage of a drawing session correctly completed per unit time. Here, AutoCAD provides the CAD environment of interest. Productivity with respect to two AutoCAD interface designs (menu, template) and three task types (draw, dimension, display) was investigated. Analysis of user productivity data revealed significantly higher productivity under the menu interface condition than under the template interface condition. A significant effect of task type was also discovered, where user productivity under display tasks was higher than productivity under the draw and dimension tasks. Implications of these results are presented.     

基于RF-BiLSTM的柔直阀冷入阀水温预测及冷却能力评估

为实现柔性直流(voltage sourced converter-high voltage direct current,VSC-HVDC)换流阀冷却系统入阀水温的智能预测,文中提出一种基于随机森林(random forest,RF)和双向长短时记忆(bi-directional long short-term memory,BiLSTM)网络混合的柔直换流阀冷却系统入阀水温的预测模型,并以此为基础对柔直换流站阀冷系统的冷却能力进行评估。首先,采用RF算法对由阀冷系统监测变量组成的高维特征集进行重要性分析,筛选出影响入阀水温的重要特征,与历史入阀水温构成输入特征向量。然后,将特征向量输入到BiLSTM预测模型,对模型进行训练并实现对入阀水温的准确预测和冷却能力定量评估。最后,以广东电网某柔直换流站为实例对所提方法进行分析,验证了所提出的基于RF-BiLSTM的混合模型预测精度优于BiLSTM模型、RF模型、支持向量机(support vector machine,SVM)模型和自回归滑动平均模型(auto-regressive and moving average,ARMA)模型,并且实现了冷却能力的定量评估。结果表明该换流站冷却裕量达98%,存在过度冷却、能源浪费的问题,与换流站现场运行情况相符,验证了文中所提方法的有效性和准确性。     

直流微电网的储-荷虚拟直流电机优化控制技术

为提升虚拟直流电机（VDCM）控制对直流微电网的电压惯性与阻尼支持能力,并改善负荷侧的电压响应,提出了储-荷VDCM优化控制技术。通过类比直流电机的外特性建立储能侧和负荷侧VDCM动态模型。对VDCM控制进行改进,在储能侧对系统提供惯性支持,在负荷侧对系统施加阻尼控制,从而消除储能侧VDCM中电压惯性和阻尼的冲突,为系统母线提供足够的动态支撑。在此基础上,设计负荷侧惯性灵敏度控制环节,使储-荷VDCM能够为负荷提供灵活可控的电压惯性。根据李雅普诺夫稳定理论,分析所提VDCM优化控制对系统的稳定支持作用,根据分析提出参数优化方案,并利用时域仿真分析,验证所提控制策略的有效性。     

考虑天气类型和相似日的IWPA-LSSVM光伏发电功率预测

为了提高光伏发电功率预测精度,根据不同天气类型下光伏输出功率特点,确定光伏发电功率预测模型的输入量。针对狼群算法（wolf pack algorithm,WPA）缺陷,对狼群游走位置和奔袭步长进行改进,得到改进狼群算法（improved wolf pack algorithm,IWPA）,并通过IWPA对最小二乘支持向量机（least squares support vector machine,lSSVM）进行优化,建立了考虑天气类型和相似日的IWPA-LSSVM光伏发电功率预测模型。采用不同天气类型下的光伏发电功率数据进行仿真,结果表明：无论是晴天、多云还是阴雨天气,所提方法预测精度更高,回归拟合时的误差波动更小。     

基于LightGBM算法的光伏并网系统孤岛检测及其集成的可解释研究

针对智能孤岛检测方法欠缺对数据集划分过程中标签分布不均问题的考虑,以及该领域尚未对复杂智能孤岛检测模型的决策进行可解释性分析,提出了一种基于轻梯度提升机(LightGBM)算法的孤岛检测模型。采用分层抽样的K折交叉验证检测模型的分类性能,解决数据标签分布不均的问题;提出基于决策树的Shapley值加性解释方法为主干,融合累计局部效应图和局部代理模型的集成可解释分析框架,从全局性和局部性角度对光伏并网系统的孤岛状态检测进行归因分析。算例仿真结果表明,所提模型能在传统检测方法的检测盲区中实现精确且快速的动态孤岛检测,且在电压波动、系统故障等情况下均未发生误判。基于集成的归因分析方法解决了单一可解释方法的欠合理性问题,揭示了模型输入电气特征自变量与孤岛检测响应因变量之间的关系,提高了模型的可信度。     

多策略改进 MPA 算法与 HKELM 的变压器故障辨识

为解决目前变压器故障诊断精度低的问题,提出一种多策略改进海洋捕食者算法( MPA) 与混合核极限学习机 (HKELM)的变压器故障辨识方法。 首先通过核主成分分析法(KPCA)对高维线性不可分的变压器故障数据进行降维,获取特 征支持数据;然后通过伯努利混沌映射、改进阶段转换判据、最佳候选者等策略综合改进 MPA,加强全局开发能力;最后使用改 进的 IMPA 算法对 HKELM 的参数寻优,构建变压器故障诊断模型。 为验证模型有效性,分析比较常用算法优化的 HKELM 的 4 种变压器故障诊断模型。 其中 IMPA-HKELM 的诊断精度为 94. 7%,相比于另外 3 种基础算法优化的模型,诊断精度分别提升 了 5. 4%、8%、10. 7%。 结果表明,提出模型有效提升了故障诊断的分类性能,并实现了较高的故障诊断精度。     

球面折反射成像的内螺纹螺距视觉测量系统

为了实现内螺纹参数的非接触、自动化在线测量,本文以通孔螺母和盲孔螺母为检测对象,提出了一种基于球面折反射全景成像原理的内螺纹螺距参数的机器视觉测量系统。系统采集经球面折反射得到的图像,随后分割出完整的内螺纹区域;采用对比度受限的自适应直方图均衡化算法提高图像对比度,并采用中值滤波与双边滤波的组合来保护螺纹边界信息;再使用Zernike矩边缘检测算法确定每条螺纹的亚像素边缘;最终,基于折反射成像理论计算得到内螺纹螺距尺寸。与计量用螺纹综合测量机的螺距测量值进行了对比,实验结果表明该系统的平均测量误差为0.018 5 mm,满足工业生产中内螺纹螺距精度的要求,检测效率高,可用于内螺纹在线视觉检测。本研究为圆柱形内壁尺寸测量和缺陷检测提供了一种参考方案。