Mar 10, 2021 · Abstract: Aiming at the problem of feature extraction of non-stationary, non-linear and weak fault signals, a new feature extraction method ...

Aiming at the problem of feature extraction of non-stationary, non-linear and weak fault signals, a new feature extraction method based on empirical wavelet ...

Mar 29, 2021 · ABSTRACT Aiming at the problem of feature extraction of non-stationary, non-linear and weak fault signals, a new feature extraction method ...

The experiment results show that the proposed STEWT-PGMCKD method can effectively extract the weak fault information and accurately realize the fault ...

针对非平稳、非线性、微弱故障信号的特征提取问题，提出了一种基于带尺度空间阈值的经验小波变换（EWT）和改​​进的最大相关峰度反卷积（MCKD）的新特征提取方法。本文提出 ...

Feature extraction based on EWT with scale space threshold and improved MCKD for fault diagnosis. IEEE Access 2021; 9: 45407–45417. Crossref · Google Scholar.

Oct 17, 2024 · Feature Extraction Based on EWT with Scale Space Threshold and Improved MCKD for Fault Diagnosis. Article. Full-text available. Mar 2021.

Oct 20, 2022 · A method based on sparrow search algorithm (SSA), VMD, and MCKD is proposed, namely, SSA–VM–MCKD, for rolling bearing faint fault extraction.

Article: Composite fault feature extraction for gears based on MCKD-EWT adaptive wavelet threshold noise reduction.

Experiments show that the SSA–VM–MCKD method can adaptively determine the parameters in VMD and MCKD, enhance the fault impact components in the signals, ...