摘要
阐述基于人工智能的电气工程故障预测和可靠性分析特点,探讨BP神经网络的故障预测模型、GA-BP神经网络的故障预测模型、GA-BP神经网络与BP神经网络的故障预测模型的对比,分析故障诊断技术、模型构建过程,以及实施步骤。
This paper describes the characteristics of electrical engineering fault prediction and reliability analysis based on artificial intelligence,explores the fault prediction models of BP neural network,GA-BP neural network,and comparison between GA-BP neural network and BP neural network,analyzes fault diagnosis technology,model construction process,and implementation steps.
作者
李兆宇
武紫梁
LI Zhaoyu;WU Ziliang(State Grid Beijing Customer Service Center,Beijing 100062,China;State Grid Beijing Daxing Power Supply Company,Beijing 102600,China)
出处
《集成电路应用》
2024年第1期338-340,共3页
Application of IC
关键词
人工智能
BP神经网络
故障模型
artificial intelligence
BP neural network
fault model