大型装备传动系统非线性频谱特征提取与故障诊断

基于Volterra级数的非线性频谱分析方法,建立了大型数控装备传动系统伺服电机的非线性频谱模型,对传动系统两类参数型故障的频谱特征进行了分析.在此基础上,提出一种实用的在线频谱特征提取与故障识别方法,采用自适应辨识算法求解时域Volterra核,用快速多维傅立叶变换获得非线性频谱特征.实验结果表明,该方法实时性好,故障识别率高.

Feature extraction and fault diagnosis of large-scale equipment transmission system based on nonlinear frequency spectrum

The nonlinear frequency spectrum model of servo motor of large-scale numerical control equipment transmission system is established based on nonlinear frequency spectrum analysis method of Volterra series.The frequency spectrum feature of two parametric type faults of transmission system is analyzed.An usable online frequency spectrum feature extraction and fault diagnosis method is proposed.The method uses adaptive identification algorithm to solve domain Volterra kernel and adopts fast multi-dimensional Fourier transform to extract nonlinear frequency spectrum feature.Experimental result shows that the proposed method has good timeliness and high recognition rate for equipment fault.