模拟退火优化SVM参数的变压器故障诊断

利用群智能算法优化支持向量机(SVM)参数往往需要引入额外的变量,使变压器故障诊断问题更加复杂,对此提出一种自适应的模拟退火算法优化(ASA)支持向量机参数。通过设计自适应的冷却进度表,使得寻参的过程仅仅依赖于退火速率以及网格搜索粒度,保持了较少的参数设置。在相关数据集上的实验表明,与已提出的粒子群算法(PSO)、遗传算法(GA)相比,ASA算法具有更快的收敛速度以及较好的诊断精度。利用自适应的模拟退火算法能够较好的优化SVM参数并提高变压器故障诊断的精度。     

High Temperature Melting Curve of Basaltic Glass by Laser Flash Heating

Basalt is an igneous rock originating from the cooling and solidification of magma and covers approximately 70% of Earth’s surface. Basaltic glass melting in the deep Earth is a fundamental subject of research for understanding geophysics, geochemistry, and geodynamic processes. In this study, we design a laser flash heating system using two-dimensional, four-color multi-wavelength imaging radiometry to measure the basaltic glass melting temperature under high pressure conditions in diamond anvi...     

锰锌铁氧体纳米颗粒及其磁性液体的制备与磁性研究

采用化学共沉淀法制备出Mn1-xZnx Fe2O4(x=0.1,0.2,0.3)磁性颗粒,通过X射线衍射(XRD)测试分析了Mn1-xZnxFe2O4(x =0.1,0.2,0.3)颗粒的结构参数及平均粒径,结果表明制备的样品为锰锌铁氧体纳米粒子.用振动样品磁强计(VSM)测量了样品的饱和磁化强度,对应x=0.1,0.2,0.3分别为25.3、44.4、30.7 emu/g.选用Mn0.8Zn0.2FeO4纳米粒子,通过油酸作分散剂,分散到航空煤油中制备出磁性液体样品,研究分析了磁性液体的磁化特性和热磁特性.