This can be more challenging when multiple faults coexist. This paper proposes an effective approach to extract multi-fault features of a wind turbine gearbox ...
Dec 26, 2017 · Strong background noise and complicated interfering signatures when implementing vibration-based monitoring make it difficult to extract the ...
The diagnostic approach is formalized by extracting the multiple weak features with MOMEDA based on the MED denoised signals, which allows successful ...
Wang Z. et al. A Novel Method for Multi-Fault Feature Extraction of a Gearbox under Strong Background Noise // Entropy. 2017. Vol. 20. No. 1. p. 10. ... Wang Z., ...
A Novel Method for Multi-Fault Feature Extraction of a Gearbox under Strong Background Noise. Z. Wang, J. Wang, Z. Zhao, and R. Wang.
The experimental results show that the algorithm can significantly improve the accuracy and speed of rolling-bearing fault classification. Combining fusion- ...
Oct 21, 2024 · Therefore, developing a novel fault diagnosis method that effectively handles noise interference is urgently needed. This study aims to improve ...
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May 15, 2022 · A novel feature extraction method is developed by associating the weighted parameters with the multi-scale fluctuation based dispersion entropy (MFDE).
Oct 22, 2024 · In analyzing signals from a wind turbine gearbox this paper suggests a new signal processing procedure named as CMF-EEMD method which is ...
The proposed compound fault feature extraction method based on Multipoint Kurtosis (MKurt)-VMD can alleviate the mode mixing in comparison with EEMD.