摘要:本文以飞机开关磁阻电机起动/发电系统为研究对象。针对输出电压的故障态能较好的表征开关磁阻起动发电系统的故障态特征的特点,结合了小波变换对非平稳信号的时频分析特点,利用搭建的开关磁阻电机起动/发电系统模型对故障时的输出电压进行小波分解和小波包分解,从而对输出电压进行故障特征提取,进而对故障类型进行分析判断。仿真结果表明,利用小波包分析的各故障信号的不同频带差异明显,该方法能有效地对输出电压故障特征进行提取。 关键词:开关磁阻电机;起动发电系统;输出电压;故障特征提取
Abstract: This paper took the switched reluctance starter/generator as the research object. Aiming for the characteristic that fault state of output voltage could representative the fault state of switched reluctance starter/generator system, fault output voltage was decomposed with the methods of wavelet and wavelet packet combining with the features of wavelet transform analysing nonstationary signals and making use of nonlinear model.As a result ,fault feature of output voltage was extracted.The simulation results show that differences between different frequency bands using wavelet packet analysis of various fault signal is significantly. This method could effectively extract fault feature of output voltage. Key words: switched reluctance motor; starter/generator system;output voltage;fault feature extraction
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