The proposed method can fully extract fault features and improve fault diagnosis accuracy. Firstly, based on multivariate multiscale fuzzy entropy (MMFE), ...
Fault diagnosis of bearing based on refined piecewise composite multivariate multiscale fuzzy entropy ... Entropy to Diagnose the Faults of Rolling Bearing.
The proposed method can fully extract fault features and improve fault diagnosis accuracy. Firstly, based on multivariate multiscale fuzzy entropy (MMFE), ...
Fault diagnosis of bearing based on refined piecewise composite multivariate multiscale fuzzy entropy ... Entropy to Diagnose the Faults of Rolling Bearing.
Jul 12, 2023 · This method extracts the fault characteristics of rolling bearings more comprehensively and accurately. The CMvMPFE method was used to calculate ...
Finally, a new fault diagnosis method for rolling bearing was proposed based on RCMMFE for fault feature extraction, Laplacian score and particle swarm ...
Missing: piecewise | Show results with:piecewise
Jul 5, 2023 · PDF | The study focuses on the fault signals of rolling bearings, which are characterized by nonlinearity, periodic impact, ...
The study focuses on the fault signals of rolling bearings, which are characterized by nonlinearity, periodic impact, and low signal-to-noise ratio.
This work proposes a bearing fault diagnosis method based on variational mode decomposition (VMD) fuzzy entropy (FE) and improved deep belief networks (DBN) ...
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Nov 16, 2022 · Bearing fault diagnosis based on multi-scale permutation entropy and adaptive neuro fuzzy classifier. Show details Hide details. Rohit Tiwari ...