一种基于混沌和GFRF的故障诊断方法  

A Fault Diagnosis Method Based on Chaos-GFRF

作　　者：马红光[1] 韩崇昭[2] 王国华[1] 朱小菲[1] 

机构地区：[1]第二炮兵工程学院,西安710025 [2]西安交通大学,西安710049

出　　处：《现代雷达》2004年第12期56-59,共4页Modern Radar

摘　　要：提出了一种基于相空间重构和广义频谱响应函数 (GFRF)算法的复杂电子系统故障诊断方法 ,该方法将复杂电子系统中参数变异演化造成的不稳定因素作为研究对象 ,利用相空间重构和Γ test算法将系统的观测数据构造成伪输入 /输出对 ,用GFRF的简化模型辨识算法计算系统的三阶GFRF核 ,用数据替代法生成系统故障数据 ,借助于对系统的互调失真的跟踪与估计 ,实现系统故障的检测与识别。实验结果表明 。This paper presents a fault-diagnosis method based on the approaches of phase space reconstruction and Generalized Frequency Response Functions (GFRF) of a complex electronic system. The system nonstationariness induced by parameter-evolving is treated as the studying subject being studied. The phase space reconstruction andΓ-test algorithm are employed to convert the system observed data into the quasi-input/output pairs, and then three order of GFRF kernels are computed by means of the General Formula of GFRF. The system fault data are generated by using the surrogate algorithm. The system fault detection and identification are realized by tracking and estimating the distortion of intermodulation. The experimental results show that this fault diagnosis method can correctly detect the fault phenomena of electronic system.

关 键 词：复杂电子系统 故障诊断 混沌时间序列 相空间重构 广义频谱响应函数 

分 类 号：TN707[电子电信—电路与系统]