基于小波分析的雷达引信故障诊断和预报算法

Wavelet-based algorithm for fault diagnosis and prognosis of radar fuze

提出了一种雷达引信故障诊断和预报的新算法。该算法利用时间序列的信息熵构造信息花费函数,以雷达引信的实测数据为基础选取好小波基,利用小波的多尺度分辨分析对雷达引信的漏脉冲进行分析,以互相关和统计算法分别建立了雷达引信正常工作和故障状态下的模型。实验结果表明,该算法能定量地分析雷达引信的工作状态,准确地预报雷达引信的故障程度。

A new algorithm of fault diagnosis and prognosis for radar fuze is presented. By means of the information cost function, which is constructed by the approach of information entropy of time series, an optimal wavelet basis is selected based on the testing data of radar fuzes. Then the characteristic of leakage pulses of radar fuzes is analyzed by using the multi-resolution of wavelet. The models corresponding to the normal working state and failure state are established with the mode identification and cross-correlation algorithm. The result of experiment indicates that this algorithm can quantificationally analyze the operating behavior of radar fuzes, and correctlly prognosticate the fault tend.