当前位置: X-MOL 学术J. Sci. Ind. Res. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A Novel Methodology for Power Quality Disturbances Detection and Classification in Industrial Facilities
Journal of Scientific & Industrial Research ( IF 0.6 ) Pub Date : 2020-10-01
F J Solis-Munoz, D A Elvira-Ortiz, A Y Jaen-Cuellar, R J Romero-Troncoso, R A Osornio-Rios

The industrial facilities inject noise to the power line. Concerning this issue, researchers are focusing their effort on developing new techniques for analyzing the power quality of the power net. This work presents a novel methodology for power quality disturbances detection and classification based on the Harris hawks optimization algorithm and discrete wavelet transforms decomposition of the signal.

中文翻译:

工业设施电能质量扰动检测与分类的新方法

工业设施向电源线注入噪声。关于这个问题,研究人员将精力集中在开发用于分析电网的电能质量的新技术上。这项工作提出了一种基于Harris霍克斯优化算法和信号的离散小波变换分解的电能质量扰动检测和分类的新方法。
更新日期:2020-10-02
down
wechat
bug