模糊神经网络在船舶电力推进系统状态保持中的应用研究

Application research of fuzzy neural network in status remain of marine electric propulsion system

利用模糊神经网络的自学习能力强、并行计算快、容错性高的特点来评估船舶电力推进系统的状态。阐述模糊神经网络在船舶电力推进系统状态评测中的流程,最后通过实验得到船舶电力推进系统的推进变压器、推进变频器、推进电机3部分的评测得分,从而得到系统状态情况,在优的情况下说明船舶可继续行驶。

In this paper,use fuzzy neural network to assess the status of marine electric propulsion system because of its self-learning ability,parallel computing fast,high fault tolerance features. And elaborated on the fuzzy neural network in marine electric propulsion system state evaluation process.Finally,three parts of the evaluation score obtained through experiments which were ship electric propulsion system propulsion transformers, propulsion drive, propulsion motors. Thereby obtain system status conditions. Ships could continue driving under optimal circumstances.