Jun 14, 2022 · The experimental results show that this method can effectively extract the fault features of rolling bearings in multiple frequency bands, ...
Jun 14, 2022 · The experimental results show that this method can effectively extract the fault features of rolling bearings in multiple frequency bands, ...
Weak Fault Feature Extraction of Rolling Bearings Based on Adaptive Variational Modal Decomposition and Multiscale Fuzzy Entropy. Article. Full-text available.
Weak Fault Feature Extraction of Rolling Bearings Based on Adaptive Variational Modal Decomposition and Multiscale Fuzzy Entropy. Sensors 2022, 22, 4504 ...
Fault feature extraction for rolling bearings based on parameter-adaptive variational mode decomposition and multi-point optimal minimum entropy deconvolution.
Missing: Multiscale | Show results with:Multiscale
Jun 14, 2022 · The working environment of rotating machines is complex, and their key components are prone to failure. The early fault diagnosis of rolling ...
Fault feature extraction for rolling bearings based on parameter-adaptive variational mode decomposition and multi-point optimal minimum entropy deconvolution.
Applied Sciences, 2019. Weak Fault Feature Extraction of Rolling Bearings Based on Adaptive Variational Modal Decomposition and Multiscale Fuzzy Entropy.
[19] proposed a fault feature extraction method based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and permutation entropy ( ...
Rolling bearing fault diagnosis based on variational mode decomposition ...
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Jan 21, 2024 · In this article, a rolling bearing fault diagnosis technique based on variational mode decomposition and weighted multidimensional feature ...