The bearing diagnosis in industrial applications is limited because the traditional equal-time sampling strategy results in the loss of signal period and fault feature under fluctuant speed. To address these issues, a new tacholess bearing fault diagnosis method based on time-domain impulse extraction (TDIE) is proposed. With the TDIE method, the frequency fluctuant phenomenon is eliminated and fault characteristic frequencies are exposed distinctly. In contrast to traditional time-frequency analysis techniques, straightforward phase information is analyzed in the time-domain with the new adaptive morphological filtering and identified impulse optimization methods. Finally, angular resampling is employed to realize bearing fault diagnosis under fluctuant speed. To demonstrate the performance of the proposed method, simulation and experiments are conducted. Results indicate that the technique is an effective tacholess bearing fault detection under fluctuant speed with enhanced ef...

中文翻译：

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脉动速度下基于时域自适应脉冲提取的无转速轴承故障检测

由于传统的等时采样策略会在波动的速度下导致信号周期和故障特征的损失，因此在工业应用中的轴承诊断受到限制。针对这些问题，提出了一种新的基于时域冲量提取（TDIE）的无转速轴承故障诊断方法。使用TDIE方法，可以消除频率波动现象，并清晰显示故障特征频率。与传统的时频分析技术相比，新的自适应形态学滤波和确定的脉冲优化方法可以在时域中分析直接的相位信息。最后，采用角度重采样技术，实现转速波动下的轴承故障诊断。为了演示所提出方法的性能，进行仿真和实验。结果表明，该技术是一种有效的无波动轴承转速波动下有效的无故障检测方法，具有较高的效率。