节点文献
一种基于非线性频谱分析的故障预报方法及其应用
A Fault Forecasting Method Based on Nonlinear Spectral Analysis and Its Application
【摘要】 论文改进和完善了一种广义频率响应函数(GFRF)的辨识算法,并依此提出了一种基于非线性频谱分析的故障预报方法。最后利用该方法成功地对某型直升机并联电动舵机进行了故障预报。工程应用实例证明了该预报方法的有效性。另外,该方法计算量小,实时性强,适合于在线故障预报,为早期故障预报的研究提供了一种新思路。
【Abstract】 A fault forecasting method based on nonlinear spectral analysis was proposed a nd applied into the fault forecasting of certain helicopter’s electric rudders. The actual application indicates that this fault forecasting method is effective in fault forecasting.This method is suitable for online fault forecasting and supplies a new thought for the study of fault forecasting.
【关键词】 非线性频谱分析;
故障预报;
广义频率响应函数(GFRF);
多值伪随机序列电动舵机;
【Key words】 nonlinear spectral analysis; fault forecasting; Generalized Frequency Response Function( GFRF); multi-value pseudorandom; electric rudder;
【Key words】 nonlinear spectral analysis; fault forecasting; Generalized Frequency Response Function( GFRF); multi-value pseudorandom; electric rudder;
【基金】 国家重点基础研究发展规划(973)项目支持(编号:2001CB309404)
- 【文献出处】 计算机工程与应用 ,Computer Engineering and Applications , 编辑部邮箱 ,2003年14期
- 【分类号】TP277
- 【被引频次】2
- 【下载频次】139