微型电脑应用2025，Vol.41Issue(3)：279-281,285,4.
基于改进支持向量机的变电站主变压器振动波谱智能监测
Intelligent Monitoring of Vibration Spectrum of Main Transformer in Substation Based on Improved Support Vector Machine
徐婷 1单光瑞1
作者信息
- 1. 国网江苏省电力有限公司镇江供电分公司,江苏,镇江 212001
- 折叠
摘要
Abstract
An intelligent monitoring method of vibration spectrum of main transformer in substation based on improved support vector machine is proposed to monitor the change of vibration spectrum of main transformer in substation and master the opera-tion status of main transformer.Based on the main transformer of the substation,the peak-to-peak value,average value,skew-ness index of the vibration signal in the time domain,as well as the main component frequency division ratio,fundamental fre-quency ratio and 50 Hz odd times harmonic ratio index in the frequency domain are selected as the characteristic vectors of the vibration spectrum of the main transformer in the substation.The bacterial foraging algorithm is used to optimize the relevant parameters of the support vector machine,and the improved support vector machine is obtained.The characteristic vector of the vibration spectrum of the main transformer is input into the improved support vector machine,so as to realize the intelligent monitoring of the vibration spectrum of the main transformer in the substation.The experimental results shows that the pro-posed method has good adaptability and can effectively and intelligently monitor the vibration spectrum of the main transformer in the substation,quickly and accurately judge the various states of the main transformer operation.关键词
支持向量机/主变压器/振动波谱/细菌觅食算法/智能监测Key words
support vector machine/main transformer/vibration spectrum/bacterial foraging algorithm/intelligent monitoring分类
信息技术与安全科学引用本文复制引用
徐婷,单光瑞..基于改进支持向量机的变电站主变压器振动波谱智能监测[J].微型电脑应用,2025,41(3):279-281,285,4.
