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Condition Monitoring Diagnosis Method of Aircraft Engine Rotating Details

机译:机动发动机旋转细节的状态监测诊断方法

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Presented work is dedicated to development of the new passive-active low-frequency automatic vibroacoustical early fault diagnosis method of aircraft gas-turbine engine units (compressor stages, turbine stages), which contain the rotating details (blades, disks, shafts, etc.). The proposed method is condition monitoring and can be used while engine is operating. The method is based on testing object non-stationary narrow-band vibratory excitation with the variable central frequency, and signal processing of the engine vibro and acoustical noise in the low-frequency range (0-50 kHz). As the testing object the blade is considered at the presence and the absence of the fatigue crack. In this paper the theoretical correlation and spectral researches are given for the testing object non-stationary oscillations without and with the above mentioned fault. For nondestructive evaluation of the relative fault size the feature set, components of which are higher and basic harmonics spectral amplitudes ratios is used. The evaluation is produced by using the generalized likelihood ratio (GLR) method. The estimations statistics are computed.
机译:提出的工作是专用于新的被动 - 主动低频的飞机燃气涡轮发动机单元自动vibroacoustical早期故障诊断方法(压缩机级,涡轮级),其包含所述旋转细节(叶片,磁盘,轴等的发展)。所提出的方法是状态监测,并且可以同时发动机运行中使用。该方法是基于测试对象的非平稳窄带振动激励与可变中心频率,与发动机振动和声学噪声在低频范围(0-50千赫)的信号处理。作为测试对象中的刀片被视为在存在和不存在疲劳裂纹。在本文的理论相关性和光谱研究,给出了测试对象的非平稳振荡不具有和具有上述故障。对于相对故障大小的无损评估的特征集,其中组分的较高和基本谐波谱振幅比被使用。该评估是通过使用广义似然比(GLR)的方法制造。该估计统计计算。

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