基于B/S和C/S架构的船舶动力装置远程故障诊断系统

依据“智能船舶”的理念，针对船舶动力装置故障诊断系统，提出一种基于C/S和B/S混合架构的船舶动力装置远程故障诊断系统。依据B/S和C/S架构的优势，开发了基于C/S架构的数据管理平台，实现了船、岸间的数据、信息交互；将基于模糊神经网络的专家诊断模型应用于B/S架构的岸基船舶动力装置故障诊断系统的故障诊断判别，并利用BP算法训练实例对该模型进行了精度验证。结果表明，系统稳定可靠，故障诊断准确性高，为“智能船舶”发展提供了一个良好的解决方案。

Ship power plant remote fault diagnosis system based on B/S and C/S architecture

According to the concept of "intelligent ship", a fault diagnosis system of ship power plant based on C/S and B/S hybrid structure is proposed for the ship power plant fault diagnosis system. Based on the advantages of B/S and C/S architecture, a data management platform based on C/S architecture was developed to realize data and information interaction between ships and Banks. Will expert diagnosis model based on fuzzy neural network is applied to B/S structure of shore-based ship power equipment fault diagnosis system of fault diagnosis, and by using the BP algorithm training examples verified the accuracy of the model. The results show that the system is stable and reliable, and the fault diagnosis is accurate, which provides a good solution for the development of "intelligent ship".