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航天器控制系统各部件出现故障常引起陀螺角度增量输出的变化,以角度增量为特征量进行陀螺故障诊断往往会出现误诊断。本文通过小波分析模极大值方法,对构造的陀螺角度增量残差信号分解处理后进行故障识别,成功剔除其他部件故障产生的影响,从而有效识别出陀螺故障,该方法提高了陀螺故障诊断的准确性和诊断效率。
Spacecraft control system components often cause failure of the gyro angle incremental output changes, the angular increment of the characteristics of the gyro fault diagnosis often misdiagnosis. In this paper, the wavelet analysis modulus maximum method is used to identify the gyro fault by decomposing and processing the incremental signal of the constructed gyro angle increment, then eliminating the influence of other components fault effectively. This method improves the gyro fault diagnosis Accuracy and diagnostic efficiency.