摘要
对小波包分解和高阶统计量理论进行了阐述,提出一种基于高阶统计量特征和小波包分析相结合的雷达伺服传动系统故障诊断方法。当传动系统故障发生时,振动信号一般是非平稳和非高斯分布的信号,通常包含较强的噪声。用小波包分析对故障信号进行有针对性分解,并提取出故障特征频率带,然后运用高阶谱对故障特征信号进行分析,能够有效地实现故障诊断。
Wavelet packet decomposition and high-order statistic were described,and a method of radar servo drive system fault diagnosis was proposed in terms of combination of wavelet packet analysis and high-order statistic.When drive system is in fault,the measured vibration signals are non-stationary and non-Gaussian and usually it contains strong noise.Wavelet packet analysis can decompose the vibration signals,and then extract the fault characteristic signal.Through analysis of fault charouteristic signal with H...
出处
《现代雷达》
CSCD
北大核心
2008年第7期84-86,90,共4页
Modern Radar
关键词
小波包分析
高阶统计量
故障诊断
传动系统
wavelet packet analysis
higher-order statistic
fault diagnosis
drive system
