Minimum correlated generalized Lp/Lq deconvolution (MCG-Lp/Lq-D) is an important tool to detect periodic impulses in vibration mixture. It is proved to be a more stable technique than maximum correlated kurtosis deconvolution (MCKD) to recover the fault impulse under strong noise conditions. However, MCG-Lp/Lq-D still has limitations. One of the necessary conditions for the success of MCG-Lp/Lq-D is to provide a precise period of fault. An imprecise prior period will lead to performance degradation or even failure of the method. Therefore, in this paper, a MCG-Lp/Lq-D with adaptive fault period estimation capability is proposed, adaptive minimum correlated generalized Lp/Lq deconvolution (AMCG-Lp/Lq-D). The proposed method uses the autocorrelation function of envelope signal to estimate the fault period adaptively in each iteration and then takes the estimated period as the input parameter of MCG-Lp/Lq-D for the next iteration optimization. The proposed method does not require precise prior fault period input, which greatly improves the fault recovery accuracy and application range of MCG-Lp/Lq-D. Eventually, simulated and experimental data verify the effectiveness and superiority of AMCG-Lp/Lq-D.

中文翻译：

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一种具有自适应周期估计技术的盲解卷积新方法及其在轴承故障特征增强中的应用

最小相关广义Lp / Lq解卷积 (MCG- Lp / Lq- D) 是检测振动混合物中周期性脉冲的重要工具。事实证明，在强噪声条件下恢复故障脉冲是一种比最大相关峰态反卷积（MCKD）更稳定的技术。但是，MCG- Lp / Lq- D 仍然存在局限性。MCG- Lp / Lq- D成功的必要条件之一是提供精确的故障周期。不精确的前期将导致该方法的性能下降甚至失败。因此，在本文中，一个 MCG- Lp / Lq-D提出了具有自适应故障周期估计能力的自适应最小相关广义Lp / Lq反卷积（AMCG- Lp / Lq- D）。该方法利用包络信号的自相关函数在每次迭代中自适应地估计故障周期，然后将估计的周期作为MCG- Lp / Lq- D的输入参数进行下一次迭代优化。该方法不需要精确的先验故障周期输入，大大提高了MCG- Lp / Lq- D的故障恢复精度和适用范围。最终，模拟和实验数据验证了 AMCG-Lp / Lq -D。