多传感器信息融合技术在液压系统故障诊断中的应用
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摘要
针对单参数诊断复杂系统中出现的信息不完整和不确定性问题,提出基于BP神经网络和D-S证据理论的多传感器信息融合故障诊断方法。为了简化BP神经网络结构,首先利用两并行BP神经网络对故障数据进行诊断;之后,D-S通过证据理论融合局部诊断结果,实现对于不准确信息的准确判断,获得准确诊断结果。该方法适用于特定类型火箭发射器液压驱动伺服系统(HDSS)的故障诊断,实现了对于液压伺服驱动系统中主要部件的故障定位和诊断,有效提高了系统可靠性。
In order to solve the problem of incomplete and uncertain information in a single parameter diagnosis complex system,a multi sensor information fusion fault diagnosis method based on BP neural network and D-S evidence theory is proposed.In order to simplify the BP neural network structure,the two parallel BP neural network is used to diagnose the fault data.After that,the local diagnosis results are fused by the evidence theory to realize accurate inference of inaccurate information and obtain accurate diagnosis results.This method is suitable for the fault diagnosis of a specific type rocket launcher hydraulic drive servo system(HDSS).The fault location and diagnosis of the main components in the hydraulic servo drive system are realized,and the reliability of the system is effectively improved.
In order to solve the problem of incomplete and uncertain information in a single parameter diagnosis complex system,a multi sensor information fusion fault diagnosis method based on BP neural network and D-S evidence theory is proposed.In order to simplify the BP neural network structure,the two parallel BP neural network is used to diagnose the fault data.After that,the local diagnosis results are fused by the evidence theory to realize accurate inference of inaccurate information and obtain accurate diagnosis results.This method is suitable for the fault diagnosis of a specific type rocket launcher hydraulic drive servo system(HDSS).The fault location and diagnosis of the main components in the hydraulic servo drive system are realized,and the reliability of the system is effectively improved.
引文
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[3]蔡伟,徐文华,李慧.基于多传感器数据融合的液压缸泄漏检测技术[J].液压与气动,2013,(2).
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[7]郝用兴,等.基于VW-FDA的盾构机液压系统故障诊断方法研究[J].液压与气动,2017,(9).
[8]张立杰,鄂东辰,刘小平.一种翻车机液压系统故障诊断规则提取[J].机床与液压,2017,(17).
[2]刘保杰,等.基于神经网络与改进证据理论融合的故障诊断方法[J].火炮发射与控制学报,2017,(4).
[3]蔡伟,徐文华,李慧.基于多传感器数据融合的液压缸泄漏检测技术[J].液压与气动,2013,(2).
[4]张卫亮,李飞舟.状态监测装载机液压故障诊断专家系统的研究[J].机床与液压,2017,(1).
[5]周国宪,伍星,刘韬.基于多传感器的神经网络和D-S证据理论在故障诊断中的应用[J].测试技术学报,2017,(4).
[6]杨成刚,等.基于有源液压测试技术校直切断机故障诊断研究[J].机床与液压,2017,(11).
[7]郝用兴,等.基于VW-FDA的盾构机液压系统故障诊断方法研究[J].液压与气动,2017,(9).
[8]张立杰,鄂东辰,刘小平.一种翻车机液压系统故障诊断规则提取[J].机床与液压,2017,(17).