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Hilbert-Huang transform for detection and monitoring of crack in a transient rotor

机译：Hilbert-Huang变换用于检测和监视瞬态转子中的裂纹

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摘要

The dynamics and diagnostics of a cracked rotor have been gaining importance in the recent years. Vibration monitoring during start-up or shut-down is as important as during steady-state operations to detect cracks especially for machines such as aircraft engines which start and stop quite frequently and run at high speeds. In the present study a relatively new signal processing technique namely Hilbert-Huang transform (HHT) has been applied to transient response of a cracked rotor and few interesting results have been observed. And in all cases it has been found that HHT appears to be a better tool compared to fast Fourier transform and continuous wavelet transform for crack detection in a transient rotor.
机译：近年来，裂纹转子的动力学和诊断越来越重要。在启动或关闭期间进行振动监控与在稳态操作中检测裂纹一样重要，尤其是对于飞机发动机等机器而言，这种机器频繁地启动和停止并以高速运行。在本研究中，一种相对较新的信号处理技术，即希尔伯特-黄变换（HHT），已应用于裂纹转子的瞬态响应，并且观察到的结果很少。并且在所有情况下都发现，与快速傅立叶变换和连续小波变换相比，HHT似乎是用于瞬态转子裂纹检测的更好工具。

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