基于BP神经网络的舰船电机故障诊断  

Fault Diagnosis for Ship Motor Based on BP Neural Network

作　　者：吉哲[1] 王修敏[1] 张松涛[1] 

机构地区：[1]海军蚌埠士官学校机电系,安徽蚌埠233012

出　　处：《电机与控制应用》2013年第7期58-60,共3页Electric machines & control application

摘　　要：为了准确判断舰船电机故障类型,找到故障原因,建立基于BP神经网络的舰船电机故障诊断模型,收集故障样本数据。运用MATLAB软件进行仿真,以实例进行检测。检测结果表明,构建的模型准确可靠,可以模拟电工人员对舰船电机故障作出正确诊断,验证了BP神经网络的优越性和可行性。In order to accurately judge the fault type of ship motor and find the fault reason, the fault diagnosis model was established based on BP neural network, and the fault sample data was colleced. Using MATLAB simulation, the detection for an example was performed. The results showed that, the model was accurate and reliable, and it could simulate the electrician to make the correct fault diagnosis for ship motor. The superiority and feasibility of BP neural network were verified.

关 键 词：舰船电机 BP神经网络 故障诊断 

分 类 号：TM307.1[电气工程—电机]