基于RVM与ARMA误差校正的短期风速预测

为提高风速预测的准确性,提出了基于相关向量机(RVM)与自回归滑动平均(ARMA)误差校正的风电场短期风速预测算法。该算法首先在RVM的基础上,建立了影响因素与未来24小时风速的非线性模型,并采用遗传算法(GA)进行优化,从而保证了模型参数最优。然后,针对已建立的RVM预测模型的误差序列,采用ARMA模型对其进行拟合,最后用ARMA模型的误差预测值校正已有的风速预测值。本文对江苏某风电场的风速进行预测,算例结果表明该方法是合理有效的。     

锰酸锂动力电池高低温性能的研究

研究锰酸锂(LiMn2O4)动力电池在高低温(-20、40、65℃)条件下的充放电性能.结果表明:(1)在-20℃时,锰酸锂动力电池的极化严重,相应的电压变化也比较大,充放电效率降低,使得电池在低温环境下充放电容量均有大幅降低;(2)在40℃和65℃时,由于电解质的阻值和极化的增加,同时大量气体的产生使电极发生变化,导致了电池容量下降,性能降低;(3)低温和高温情况均加速了锰酸锂动力电池电极的极化,造成随着充放电循环次数的增加,充放电容量持续衰减;(4)在-20℃锰酸锂动力电池的恒流充电时间相对变短而恒压充电时间相对变长,与40℃和65℃时电池恒流充电的温升速率相比,锰酸锂动力电池在-20℃时恒流充电的温升速率最大.     

燃气管线周围密闭空间的潜在风险及预防

近年来发生了多起因燃气泄漏后积聚在密闭空间内引起爆炸的严重事故,对社会造成了恶劣影响。本文通过对几起事故的共性分析,提出消除或减少这种危害的几个措施与同行们交流。     

基于透射光信号脉动分析的粉体实时在线监测技术的初步研究

目前 ,上海理工大学动力工程学院正研究发展一种基于透射光信号脉动分析的粉体实时在线监测技术 ,主要用于电厂煤粉的监测。介绍了其基本原理 ,并给出了最近在一套简易装置上用此方法测量粉体细度与浓度的初步实验研究结果。根据对实验结果的分析 ,提出了计算粒径与浓度的简便方法 ,并对其适用范围作了初步讨论。     

太钢新改造的3座AOD转炉投产及其先进的工艺控制技术

太钢3座40tAOD转炉改造后扩容到45t并于2004年4月成功投产,主要采用两步法生产铁素体和奥氏体不锈钢。介绍了该项目的主要特点以及奥钢联AOD技术特点。     

晶粒度对纳米铜粉抗氧化能力的影响(英文)

以KBH4和维生素C(VC)为还原剂,以CuSO4·5H2O为原料,以EDTA为络合剂,PVP为分散剂,用液相还原法制备不同晶粒度的纳米铜粉。不同晶粒度的纳米铜粉同时在空气中放置1h后,进行XRD、DTA-TG以及TEM检测。结果表明:不同粒度的纳米铜粉在空气中抗氧化能力不同,晶粒度越大抗氧化能力越强。晶粒度大于75nm时在空气中放置1h不被氧化,平均晶粒度为75nm的纳米铜粉在120℃时开始氧化。纳米铜粉的熔点很低,进行TEM检测时,在电子束照射下颗粒熔融长大。     

Growth of GaN Films on Si (100) Buffered with ZnO by Ion-Beam-Assisted Filtered Cathodic Vacuum Arc Technique

GaN films have been fabricated on Si (100) substrates with ZnO buffer layers by an ion-beam-assisted filtered cathodic vacuum arc (I-FCVA) technique at␣450°C. GaN films are highly (002)-oriented with a hexagonal structure examined by X-ray diffraction. The room-temperature photoluminescence spectrum of the GaN film exhibits a strong and sharp band-edge emission peak at 3.36 eV. The obtained results demonstrate the potential of the I-FCVA technique for the fabrication of high-quality GaN layers on Si substrates.     

不同Waxy蛋白亚基缺失小麦材料的籽粒性状和面团流变学特性的比较

普通六倍体小麦中存在为数不多的自然突变的Waxy蛋白亚基缺失小麦材料。选用自然突变形成的4种缺失1个或2个Waxy蛋白亚基的部分糯小麦材料,2种Waxy蛋白亚基全缺失的糯小麦品系,以普通中筋小麦济麦19作为对照,研究其籽粒性状和面团的粉质特性、揉混特性、拉伸和黏度特性。结果表明,糯小麦的籽粒硬度、直链淀粉含量与其他小麦相比明显偏低;部分糯小麦的直链淀粉含量比对照有不同程度的降低。面团的粉质特性、揉混特性和拉伸特性测定表明,糯小麦面团的吸水率极显著高于其他小麦,其稳定时间、断裂时间,揉混特性的中线峰值时间、峰值面积、8min尾高,拉伸特性的最大拉伸阻力、拉伸曲线面积、最大拉伸比显著低于对照,而部分糯小麦（江苏白火麦除外）的粉质参数（吸水率除外）、揉混参数、最大拉伸阻力、最大拉伸比均高于对照,达显著或极显著水平。黏度特性上,糯小麦的面团黏度、附着功、黏聚性较大,部分糯小麦（江苏白火麦除外）的面团黏度较小,均呈显著或极显著性差异。综合面团的流变学特性测定表明,糯小麦面粉的吸水率高,但面团的结构差,筋力弱;Sturdy、Satanata和IKE3个部分糯小麦的面团的耐揉性、耐搅性、面团筋力优于济麦19,也优于糯小麦;缺失Wx—D1亚基的江苏白火麦的大多数面团流变学参数与糯小麦无显著性或极显著性差异。     

Phase stability and pyroelectricity of antiferroelectric PLZST oxide

Polarization and transmission electron microscopy studies of the Pb_0.97La_0.02(Zr_0.65Sn_0.22Ti_0.13)O₃ (PLZST) ceramics confirmed the antiferroelectric (AFE) nature of this material. The electric-field-induced ferroelectric (FE) phase has a lifetime much longer than the reasonable laboratory time scale at T?≤?60°C. The observed frequency dispersion of the dielectric constant reflects the competition between AFE and FE orderings. At high temperatures, the induced-FE phase reverses fast to the AFE phase. This process produces a pronounced pyroelectric current. The FE-to-AFE transition temperature can also be tuned by a dc bias field.     

A new ARMAX model based on evolutionary algorithm and particle swarm optimization for short-term load forecasting

In this paper, a new ARMAX model based on evolutionary algorithm and particle swarm optimization for short-term load forecasting is proposed. Auto-regressive (AR) and moving average (MA) with exogenous variables (ARMAX) has been widely applied in the load forecasting area. Because of the nonlinear characteristics of the power system loads, the forecasting function has many local optimal points. The traditional method based on gradient searching may be trapped in local optimal points and lead to high error. While, the hybrid method based on evolutionary algorithm and particle swarm optimization can solve this problem more efficiently than the traditional ways. It takes advantage of evolutionary strategy to speed up the convergence of particle swarm optimization (PSO), and applies the crossover operation of genetic algorithm to enhance the global search ability. The new ARMAX model for short-term load forecasting has been tested based on the load data of Eastern China location market, and the results indicate that the proposed approach has achieved good accuracy.