摘要
基于非线性谱分析的故障诊断是一种新的故障诊断理论。针对该方法中广义频率响应函数的在线估计问题,研究了利用Volterra时域核在线得到被测系统的广义频率响应函数的新方法。基于Volterra系统的鲁棒总体均方最小自适应辨识算法,提出了一种新的广义频率响应函数的在线估计方法。该方法能够有效减少广义频率响应函数的在线计算量,而且实现简便,鲁棒性强。仿真实验证明了该方法的有效性。
The fault diagnosis based on nonlinear spectral analysis is a new fault diagnosis theory. In allusion to the online estimation problem of generalized frequency response functions in this fault diagnosis method, a new method is studied for obtaining generalized frequency response functions of the detected system by using Volterra kernels in time domain. Based on the robust Volterra total least mean square adaptive identification algorithm, a new online estimation method for generalized frequency response functions is presented in this paper. The presented method can be used to efficiently reduce the online computation requirements of generalized frequency response functions, and is can be easily realized. The simulation results indicate that the presented method is efficient.
出处
《空军工程大学学报（自然科学版）》
CSCD
北大核心
2006年第5期78-80,共3页
Journal of Air Force Engineering University(Natural Science Edition)
基金
国家自然科学基金资助项目(60304004)
关键词
非线性系统
广义频率响应函数
在线估计
nonlinear system
general frequency response functions
online estimation
