基于神经网络的潜水器自动操舵仪故障诊断研究  

Fault Diagnosis Study of Submersible Automatic Steering Gear Based on Neural Network

作　　者：李相远 黄浩 李海 Li Xiangyuan;Huang Hao;Li Hai(Wuhan Marine Machinery Co.,Ltd.,Wuhan Hubei 430084)

机构地区：[1]武汉船用机械有限责任公司,湖北武汉430084

出　　处：《机械管理开发》2023年第2期5-7,共3页Mechanical Management and Development

摘　　要：开展某型潜水器自动操舵仪功能结构分析,在此基础上设计了基于RBF神经网络的故障诊断流程,使用历史故障事件库数据进行神经网络训练,并采用故障事件数据对诊断识别能力进行检验,为潜水器自动操舵仪的故障诊断识别提出了一种新的思路。The analysis of the functional structure of a type of submersible automatic steering gear was carried out,based on which a fault diagnosis process based on RBF neural network was designed,the neural network was trained using historical fault event database data,and the fault event data was used to test the diagnostic recognition capability,and a new idea was proposed for the fault diagnosis recognition of submersible automatic steering gear.

关 键 词：自动操舵仪 故障诊断 RBF神经网络 Gauss函数 

分 类 号：TN911[电子电信—通信与信息系统]