脉冲功率电源故障诊断方法研究

脉冲功率电源是电磁发射系统中最容易发生故障的薄弱环节,脉冲功率电源故障会使整个系统性能下降。针对脉冲功率电源故障,提出基于多层小波分析提取故障信息的模式搜索支持向量机故障诊断方法。通过建立脉冲功率电源的软故障模型,进行仿真分析获得电流故障数据样本,对故障样本进行离散小波分解,获得指定层细节信息的小波系数作为故障特征量;对故障特征量进行主成分分析,将小波系数进行降维,以便有效地进行故障诊断。通过实验,将所提方法故障诊断结果与其他三种故障诊断结果进行比较,验证了所提方法的有效性。

Research on fault diagnosis of pulse power supply

Pulsed power supply is the most vulnerable part of the electromagnetic launch system, and the failure of the pulsed power supply will make the whole system performance decline. Thus, in view of the pulse power supply failure, a model search support vector machine fault diagnosis method based on multi-layer wavelet analysis for fault information extraction was proposed. By establishing the soft fault model of pulse power supply, the current fault data samples were obtained through simulation analysis, and the discrete wavelet decomposition of the fault samples was carried out, then the wavelet coefficients of the specified layer details were obtained as the fault feature quantities. The principal component analysis of the fault feature was carried out, and the dimension of wavelet coefficients was reduced, so that the fault diagnosis was effectively carried out. Through the experiment, the proposed fault diagnosis method was compared with the other three kinds of fault diagnosis results, and the effectiveness of the method was verified.