电机与控制应用2013，Vol.40Issue(7)：58-60,3.
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
吉哲 1王修敏 1张松涛1
作者信息
- 1. 海军蚌埠士官学校机电系,安徽蚌埠233012
- 折叠
摘要
Abstract
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Key words
ship motor/ BP neural network/ fault diagnosis分类
信息技术与安全科学引用本文复制引用
吉哲,王修敏,张松涛..基于BP神经网络的舰船电机故障诊断[J].电机与控制应用,2013,40(7):58-60,3.
