基于改进反向传播网络的电站辅机故障诊断分析  

Analysis of Fault Diagnosis for Power Station Auxiliary Equipment Based on Improved Backpropagation Network

作　　者：吴公宝 杨琼宇 段新平 WU Gongbao;YANG Qiongyu;DUAN Xinping(Zhuhai Yuhai Electric Power Co.,Ltd.,Guangdong 319055,China;Shanghai Changgeng Information Technology Co.,Ltd.,Shanghai 200120,China.)

机构地区：[1]珠海市钰海电力有限公司,广东319055 [2]上海长庚信息技术股份有限公司,上海200120

出　　处：《集成电路应用》2023年第11期33-35,共3页Application of IC

摘　　要：阐述采用改进鲸鱼优化算法对反向传播网络进行优化,构建电站辅机故障诊断模型。分析表明,基于提出的方法,电站辅机故障诊断效果得到有效提升。This paper describes the use of improved whale optimization algorithm to optimize the backpropagation network and construct a fault diagnosis model for power plant auxiliary equipment.Analysis shows that based on the proposed method,the effectiveness of fault diagnosis for power plant auxiliary equipment has been effectively improved.

关 键 词：故障诊断 改进BP神经网络 改进鲸鱼优化算法 电力稳定 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TM76[自动化与计算机技术—控制科学与工程]