模糊神经网络在轮机故障诊断中的应用与研究

The application of fuzzy neural network in the turbine fault diagnosis

为了实现对某船用轮机的故障诊断,本文以某船用轮机故障数据为研究对象,基于模糊神经网络算法,制定了合适的误差模型,对故障数据进行特征识别。研究表明:模糊神经网络算法具有较高的鲁棒性,并且诊断成功率较高,可为工程实践提供参考。

In order to diagnose faults of a Marine turbine,the fault data of the Marine turbine is regarded as the research object in this paper. the failure data characteristic is recognized based on fuzzy neural Network algorithm and the corresponding error model. Studies show that fuzzy neural network algorithm have higher robustness,and high success rate of diagnosis. This can provide a reference for engineering practice.