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Research on Fault Diagnosis Method of Electro-Hydrostatic Actuator

机译:电静压执行器的故障诊断方法研究

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Electrohydrostatic actuator is a type of actuator that uses hydraulic energy as the energy transmission carrier, which has the advantages of small size and high power. Since it is commonly used in harsh conditions such as strong vibration, high pressure, and heavy loads, condition monitoring and fault diagnosis of its hydraulic system are particularly important. This paper proposed a novel fault feature extraction method and applied to fault diagnosis of electrohydrostatic actuator. Firstly, the pressure signal of the hydraulic system is decomposed at multiple scales to obtain the center frequency of its maximum energy intrinsic mode component, and the feature data set is constructed based on the statistical features of the time domain. Then, a fault identification model of hydraulic system based on support vector machine is established. Finally, the fault classification and identification results of the hydraulic system are outputted. After a variety of method comparisons, the method proposed in this paper has a fault time ratio accuracy of 96.7%, which provides a basis and a new way for the fault diagnosis of the hydraulic system.
机译:电疏水致动器是一种致动器,其使用液压能量作为能量传输载体,其具有小尺寸和高功率的优点。由于它通常用于诸如强烈的振动,高压和重负载的苛刻条件,因此其液压系统的状态监测和故障诊断尤为重要。本文提出了一种新型故障特征提取方法,应用于电疏水致动器的故障诊断。首先,液压系统的压力信号在多个尺度处分解以获得其最大能量内联模式分量的中心频率,并且基于时域的统计特征构造特征数据集。然后,建立了基于支持向量机的液压系统的故障识别模型。最后,输出了液压系统的故障分类和识别结果。经过各种方法比较,本文提出的方法具有96.7%的故障时间比准确度,为液压系统的故障诊断提供了基础和新方法。

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