基于状态空间法的电动机故障诊断和识别

电动机的初期故障信号一般较弱,不易辨别,而状态空间法在小信号的处理中灵敏度很高。为达到对电动机故障的诊断和识别,试图把状态空间法应用到对电动机的故障诊断中,先通过推导,从数学理论层面分析了状态空间法对于电动机故障信号的可辨别性,再使用Matlab软件搭建状态空间的辨别模型,把实验台测试的三组数据导入到模型中进行测试。测试的结果有力地证明了此方法的可行性,并能克服快速傅里叶变换(FFT)中数据采集量较大、分辨率不高的缺点。     

用边界元法提取VLSI版图电阻

介绍了ＶＬＳＩ版图验证中电阻提取的基本原理和主要方法，给出了一种新颖的基于边界元法的电阻提取算法。该算法采用变节点单元，较好地解决了实际问题中经常出现的角点问题。通过应用该算法对几个实例进行提取，证明使用本文的算法不仅在精度上而且在占用ＣＰＵ时间上都取得了令人满意的效果     

邯钢24m2烧结机节能降耗的实践

详述了邯钢24m^2烧结机在节能降耗方面所采取的措施及取得的效果。并提出了进一步降低能耗的思路和举措。     

机械合金化Zr-Al-Ni-Cu-Ag非晶合金的晶化行为

研究了机械合金化非晶态Zr65Al7.5Ni10Cu7.5Ag10合金的晶化过程，由于存在扩散不均匀区，机械合金化非晶合金在深过冷液相区的退火组织不同于快淬合金，在深过冷液相区退火，析出二十面体准晶相及一些知相：在靠近第一个放热峰的温度退火，近出Zr2Cu相：第二个放热峰对应残余非晶相及准晶相向Zr2Ni,Zr2-Al3的转变。     

基于WNN与FCM的电动汽车动态充电负荷预测方法

随着电动汽车动态无线充电(EV-DWC)技术的发展,针对目前EV-DWC负荷建模理论工作不全面的现状,以交通流量作为影响充电负荷的主要因素,以天气、典型日期、季节等因素为次要影响因素,根据路况建立负荷模型,通过电动汽车型号和状态的聚类不同对汽车分配不同的功率,完成动态充电负荷的建立。采用小波神经网络(WNN)对时序信息进行处理预测,再同误差反向传播神经网络(BPNN)相结合预测充电道路上的车流,短期车流预测精度为85%,用模糊C聚类(FCM)算法对电动汽车的充电类型以及该类型所对应的充电功率进行划分,将进入充电道路的电动汽车分为7种类型。根据各种充电类型分配相应的充电功率,完成日负荷建模。     

半导体硫化银纳米管的制备与光学性能

在以Triton X-100为表面活性剂形成的反相胶束体系中,成功地制备了半导体硫化银纳米管,管径88 nm～120nm、长度大于2.6 μm.X射线衍射测定表明,产物为纯单斜结构.紫外-可见光谱在275 nm处发现新的吸收峰,最大发射波长与体相材料相比,蓝移了38 nm.     

三峡工程泥沙问题研究60年回顾

对60 a来三峡工程泥沙问题研究的历程、主要研究结论作了简要综述。三峡水库初期蓄水运用以来的泥沙实测资料与预测对比分析表明:三峡水库上游来沙减少的趋势与初步设计阶段预测基本一致,但减少的进程有所提前;三峡水库泥沙淤积量远小于预测值;坝下游河床冲刷量与预测值基本一致,河床冲刷范围则大于预测;坝下游河床冲刷对防洪与航运的影响与预测基本一致;三峡工程泥沙问题总体上未超出论证与初步设计阶段的预测。在此基础上提出三峡工程正常运行期泥沙问题研究的建议,其中关于排沙调度方面,应按控制水库防洪库容年损失率小于1 000万m~3/a,以及变动回水区上、中段无累积性泥沙淤积的要求制定排沙调度方案,以长期发挥三峡工程的综合效益。     

Recent climate variability and its impact on precipitation,temperature, and vegetation dynamics in the Lancang River headwater area of China

The alpine ecosystem is one of the most fragile ecosystems threatened by global climate change. The impact of climate variability on the vegetation dynamics of alpine ecosystems has become important in global change studies. In this study, spatially explicit gridded data, including the Moderate Resolution Imaging Spectroradiometer (MODIS) land-surface temperature (LST) product (MOD11A1/A2), the Tropical Rainfall Measuring Mission (TRMM) rainfall product (3B43), and MODIS net primary productivity (NPP) product (MOD17A3), together with meteorological observation data, were used to explore the spatio-temporal pattern of climate variability and its impact on vegetation dynamics from 2000 to 2012 in the Lancang River headwater area. We found that the variation patterns of LST, precipitation, and NPP in the study area showed remarkable spatial differences. From the northwest to the southeast the spatial variation of average annual LST exhibited a decreasing–increasing–decreasing–increasing pattern. At the same time, most of the study area exhibited an increasing LST during the growing season. The annual precipitation increased in the semi-arid northern part, whereas it decreased in the semi-humid southern part. The precipitation variability during the growing season has a pattern similar to the annual precipitation variability. Although the majority of the regions have seen an NPP increase from 2000 to 2012, the responses of the vegetation to the varied climate factors were spatially heterogeneous. The alpine–subalpine meadows in the high-altitude areas were more sensitive to climate variability in the growing season. It is argued that satellite remote-sensing products have great potential in investigating the impact of climate variability on vegetation dynamics at the finer scale, especially for the Lancang River headwater area with complex surface heterogeneity.     

宁波市蛇蟠岛应急水源地建设与环境效应

在评价宁波市蛇蟠岛淡水资源量的基础上,估算其应急供水规模。通过构建地下水数值模型,预测在应急开采条件下地下水位恢复能力,并对应急开采产生的地下水降落漏斗、地面沉降和咸水入侵等环境效应进行了评价。结果表明,蛇蟠岛地下淡水具有应急水源地建设可行性,为该地区进一步勘查应急水源地提供了依据。