基于相关性分析的个性化实验项目自动生成系统

Personalized Experiment Topic Automatic Generation System Based on Correlation Analysis

针对开关电源实验项目单一,教学效果不佳等问题,提出了一种基于相关性分析的电源个性化实验项目自动生成方法 .依据电源管理复杂工程问题的特征点,在充分研究电源管理实验套件(PMLK)中每个实验的基础上,挖掘出电源中各因素之间的相互约束关系;使用仿真数据构建了电源管理中各因素之间的相关性系数表;运用贝叶斯网络,依据前期作品可观察数据进行认知诊断,找出知识或能力的弱项;最后,基于相关性系数表使用Java语言开发了一个电力电子电源实验项目自动生成系统,以"负载电流对效率的影响分析及优化设计"为例,结合题目设计电源并实验测试,通过分析实验结果验证了项目的适用性.

Aiming at the problem that the switching power supply experiment project is single and the teaching effect is not good,an automatic generation method of power personalization experiment project based on correlation analysis is proposed.According to the characteristics of power management complex engineering problems,based on the full study of each experiment in the power management experiment suite (PMLK),the mutual constraint relationship between various factors in the power supply is excavated.Using the simulation data to construct a correlation coefficient table between various factors in power management;Using Bayesian network,based on the observable data of the previous works for cognitive diagnosis,to find the weakness of knowledge or ability.Finally,based on the correlation coefficient table,a power electronic power supply experiment project automatic generation system was developed based on the correlation coefficient table.Taking “the analysis of the influence of load current on efficiency and optimization design” as an example,the applicability of the problem is verified by analyzing the experimental results.