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基于人工智能的金属矿山供电系统谐波治理研究

黄能洋

世界有色金属Issue(7):28-30,3.
世界有色金属Issue(7):28-30,3.

基于人工智能的金属矿山供电系统谐波治理研究

Research on Harmonic Control of Power Supply System for Metal Mines Based on Artificial Intelligence

黄能洋1

作者信息

  • 1. 广西华磊新材料有限公司,广西 百色 531499
  • 折叠

摘要

Abstract

This article examines the hazards of harmonics,including equipment wear and protection device malfunctions.It proposes an AI detection model based on neural networks and fuzzy wavelet transform,designs intelligent active filters and hybrid filtering systems,and integrates digital twin technology and LSTM for harmonic prediction.These measures aim to enhance the precision and dynamic response of harmonic management,providing a reference for the intelligent upgrade of mine power supply systems.

关键词

人工智能/金属矿山/谐波治理

Key words

artificial intelligence/metal mine/harmonic control

分类

矿业与冶金

引用本文复制引用

黄能洋..基于人工智能的金属矿山供电系统谐波治理研究[J].世界有色金属,2026,(7):28-30,3.

世界有色金属

1002-5065

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