计算机仿真2024,Vol.41Issue(1) :293-300.

模态分解的电能质量检测探究实验教学实践

Practice of Exploratory Experimental Teaching of Power Quality Detection Based on Mode Decomposition

窦震海 王雅静 梅宇 张祥珂
计算机仿真2024,Vol.41Issue(1) :293-300.

模态分解的电能质量检测探究实验教学实践

Practice of Exploratory Experimental Teaching of Power Quality Detection Based on Mode Decomposition

窦震海 1王雅静 1梅宇 1张祥珂1
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作者信息

  • 1. 山东理工大学电气与电子工程学院,山东 淄博 255091
  • 折叠

摘要

针对"现代信号处理"课程的教学难点,以模态分解法(EMD)的电能质量扰动信号检测为例,进行了探究性实验教学仿真与实践.在教学过程中,引导学生对传统EMD电能质量检测法精度偏低的问题进行探究.然后根据探究结果,融合SVD滤波、ICEEMDAN及排列熵(PE)等多种现代信号处理技术,提出了SVD-ICEEMDAN-PE的电能质量扰动检测方法,能够提高精测精度.在此基础上,设计信号降噪、算法性能分析、扰动信号检测、实验信号检测等多个仿真对方法的有效性进行了验证.探究性实验教学是理论教学的延伸和拓展,教学过程注重以学生为中心,引导学生体会思考-探索-解决问题的科研方法,从而激发学生求学—求知—钻研的科研精神.

Abstract

In response to the teaching difficulties of the"Modern Signal Processing"course,an exploratory exper-imental teaching simulation and practice were conducted using the modal decomposition method(EMD)for detecting power quality disturbance signals as an example.In the process of teaching,students are guided to explore the problem of low accuracy of traditional EMD power quality detection method.Then,according to the research results,a power quality disturbance detection method ofSVD-ICEEMDAN-PE which can improve the precision is proposed by integrating a variety of modern signal processing technologies such as SVD filtering,ICEEMDAN and permutation en-tropy(PE).On this basis,several simulation experiments such as signal noise reduction,algorithm performance anal-ysis,disturbance signal detection and experimental signal detection are designed to verify the effectiveness of the method.The inquiry experimental teaching is the extension and expansion of theoretical teaching.The whole teaching pays attention to the student-centered,and guides students to experience the scientific research methods of thinking,exploration and problem-solving,so as to stimulate students'scientific research spirit of learning,knowledge and re-search.

关键词

现代信号处理/探究性实验/电能质量/经验模态分解

Key words

Modern signal processing/Exploratory experiment/Power quality/Empirical mode decomposition

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基金项目

山东省优质课程建设项目(SDYKC 20131)

山东省研究生优秀案例库建设项目(SDYAL20133)

出版年

2024
计算机仿真
中国航天科工集团公司第十七研究所

计算机仿真

CSTPCD
影响因子:0.518
ISSN:1006-9348
参考文献量18
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