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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
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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.
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.)
出处 《集成电路应用》 2023年第11期33-35,共3页 Application of IC
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 fault diagnosis improved BP neural network improved whale optimization algorithm power stability.
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