A5101480395- Machine Fault Diagnosis Techniques
- Gear and Bearing Dynamics Analysis
- Engineering Diagnostics and Reliability
- Structural Health Monitoring Techniques
Tianjin Chengjian University
2023
Due to the difficulty in dealing with non-stationary and nonlinear vibration signals using single decomposition method, it is difficult extract weak fault features from complex noise; therefore, this paper proposes a feature extraction method for rolling bearings based on complete ensemble empirical mode adaptive noise (CEEMDAN) variational (VMD) methods. CEEMDAN was used decompose signal, signal then screened reconstructed according component envelope kurtosis. Based kurtosis of maximum...
Due to their symmetrized dot pattern, rolling bearings are more susceptible noise than time-frequency characteristics. Therefore, this article proposes a pattern extraction method based on the Frobenius and nuclear hybrid norm penalized robust principal component analysis (FNHN-RPCA) as well decomposition reconstruction. This focuses denoising vibration signal before calculating symmetric pattern. Firstly, FNHN-RPCA is used remove non-correlation between variables realize separation of...