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Research of the Lifting Wavelet Arithmetic and Applied in Rotary Mechanic Fault Diagnosis

机译:升降小波算术研究及应用在旋转力学故障诊断中

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The lifting wavelet transform is completely based on the space-time area instead of relying on Fourier transform, so it can construct wavelet in non-shift area to achieve the separation of signal in different frequency bands. In this paper, the lifting scheme of wavelet and its multiphase expression are analysed, and applied to fault diagnosis of gears, rolling bearings and rotor rubbings. Simulation was accomplished based on the analysis of fault vibration signals. The results indicate that the lifting scheme of wavelet is effective to pick up fault characteristics.
机译:提升小波变换完全基于空时区域而不是依赖于傅立叶变换,因此它可以在非移位区域中构建小波以实现不同频带中的信号的分离。本文分析了小波的提升方案及其多相表达,并应用于齿轮,滚动轴承和转子摩擦的故障诊断。基于故障振动信号的分析完成模拟。结果表明,小波的提升方案有效地拾取故障特性。

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