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Fault diagnosis of hydraulic valve based on capacity dimension of AR power spectrum

Abstract

减压阀在液压系统中很容易发生故障,对减压阀进行故障诊断对于机械系统的维护有着重要意义。该文首先利用Ar模获取减压阀振动时的正常信号和故障信号的Ar功率谱,根据功率谱所呈现出的自相似性,分别计算了每组数据的容量维数,并由计算结果对液压系统减压阀进行故障诊断,取得了良好效果。The relief valve is easy to break down in hydraulic systems.The fault diagnosis of the relief valve is significant for maintaining the mechanical system.By means of AR model,the AR power spectrum of normal and fault signals from the vibration of the relief valve was acquired respectively.According to the self-similarity of the power spectrum,the capacity dimension of each set of data was calculated in an experiment.The fault diagnosis of relief valve was implemented according to the calculated result.The diagnosis accuracy is satisfactory.国家自然科学基金(50975098

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