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WAVLET ANALYSIS FOR ROTOR FAULT DIAGNOSIS WITH RUB-IMPACT OF ROTOR SYSTEMS

机译:转子系统摩擦力诊断小波分析

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摘要

For vibration signal generated by rubbing fault in rotary machinery including the single-point rubbing and the partial rubbing, multi-component harmonic frequencies are presented. According to the vibration response of the rotor rub-impact, wavelet packet energy method is used to extract the frequency character from rub-impact fault signal. It can resolve the difficulty of multi-component fault feature extraction of rubbing fault and multi-faults with rub-impact. In this paper, the rubbing fault signals collected by displacement sensor and acceleration sensor were decomposed clearly into different frequency band by using wavelet packet method. The vibration signals from experiment rig of rub-impact rotor include just rub-impact and multi-faults with imbalance and rub-impact. The energy strength belonged to different fault frequency in the frequency band is obtained respectively. The analysis results of the rubbing signals indicate that the multiple features can be better extracted with the wavelet packet energy, and it is effective in analysis and recognition of rubbing fault.
机译:对于旋转机械中的摩擦故障产生的振动信号,包括单点摩擦和部分摩擦,提出了多组分谐波频率。根据转子摩擦冲击的振动响应,小波分组能量方法用于从摩擦冲击故障信号中提取频率特性。它可以解决多组分故障特征提取摩擦故障和多故障的难度响应。在本文中,通过使用小波分组方法将由位移传感器和加速度传感器收集的摩擦故障信号清楚地分解成不同频带。来自摩擦转子的实验钻机的振动信号包括摩擦冲击和多故障,具有不平衡和摩擦冲击。分别获得频带中不同故障频率的能量强度。摩擦信号的分析结果表明,通过小波包能量可以更好地提取多个特征,并且在摩擦故障的分析和识别方面是有效的。

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