摘要
本文首先阐述结合控制器局域网的船舶智能监控系统所具有的功能,在此基础上设计系统的总体架构,然后通过船舶柴油机的故障诊断来说明架构中的智能监控,采用粒子群优化算法的模糊神经网络故障诊断模型,最后通过实验来说明本文算法的有效性。
In this paper, the function of ship intelligent monitoring system based on controller area network was described. On this basis, the overall architecture of the system was designed. Then, the fault diagnosis of marine diesel engine was used to illustrate the intelligent monitoring. In this paper, a fuzzy neural network fault diagnosis model based on particle swarm optimization algorithm was presented.
出处
《舰船科学技术》
北大核心
2017年第6X期135-137,共3页
Ship Science and Technology
基金
2016年河南省高等学校重点科研资助项目(16A520096)
关键词
控制器局域网
船舶智能监控
粒子群优化
模糊神经网络
controller area network
ship intelligent monitoring
particle swarm optimization
fuzzy neural network