基于人工智能的电气工程故障预测与可靠性评估策略分析
Analysis of Artificial Intelligence Based Fault Prediction and Reliability Evaluation Strategies for Electrical Engineering
李兆宇 1武紫梁2
作者信息
- 1. 国网北京客服中心,北京 100062
- 2. 国网北京大兴供电公司,北京 102600
- 折叠
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.
Abstract
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.
关键词
人工智能/BP神经网络/故障模型Key words
artificial intelligence/BP neural network/fault model引用本文复制引用
出版年
2024
NETL
NSTL
维普
万方数据