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基于模糊神经网络发动机状态监测警报系统的建立
引用本文:刘玉兵,张宗扬,谭华,蒋永加. 基于模糊神经网络发动机状态监测警报系统的建立[J]. 润滑与密封, 2009, 34(7). DOI: 10.3969/j.issn.0254-0150.2009.07.018
作者姓名:刘玉兵  张宗扬  谭华  蒋永加
作者单位:徐州空军学院军交运输指挥系,江苏徐州,221000;徐州空军学院研究生管理大队,江苏徐州,221000
摘    要:针对传统的依靠单一参数对发动机进行状态监测的不足,利用模糊神经网络处理不确定性复杂问题的能力,融合多种监测参数的信息,建立了基于趋势分析的5级状态监测警报系统.首先从铁谱、振动和性能参数三方面优选监测参数,通过对大量历史数据的统计分析得到各监测参数的界限值,建立了发动机失效程度逐级递进的5级状态监测标准.然后建立隶属函数,通过计算隶属度实现了输入样本的模糊化.最后设计神经网络的结构,利用历史数据训练网络.通过对实例结果的分析证明了该模型的实效性.

关 键 词:发动机状态监测  监测标准  模糊神经网络  隶属函数

Establishing of Engine Condition Monitoring Alarm System Based on Fuzzy Neural Network
Liu Yubing,Zhang Zongyang,Tan Hua,Jiang Yongjia. Establishing of Engine Condition Monitoring Alarm System Based on Fuzzy Neural Network[J]. Lubrication Engineering, 2009, 34(7). DOI: 10.3969/j.issn.0254-0150.2009.07.018
Authors:Liu Yubing  Zhang Zongyang  Tan Hua  Jiang Yongjia
Affiliation:1.Department of Military Traffic & Transportation of Xuzhou Air Force College;Xuzhou Jiangsu 221000;China;2.Graduate Administrative Group;Xuzhou Air Force College;China
Abstract:Due to the defect of traditional engine condition monitoring depending on single parameter,the five-level condition monitoring alert system with fuzzy neural network(FNN) was established which is good at settling uncertainty and complicated problems.Optimal monitoring parameters were selected from the aspects of ferrography,vibration and performance parameters.With sufficient historical data,limit values of parameters and reliable five-level condition monitoring standards were maintained and established by ...
Keywords:engine condition monitoring  monitoring standards  fuzzy neural network (FNN)  fuzzy membership functions
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