Sparsity enforced time–frequency decomposition in the Bayesian framework for bearing fault feature extraction under time-varying conditions

Engineering

• Bayesian Framework 100%
• Feature Extraction 100%
• Rolling Bearings 100%
• Sparsity 100%
• Bayesian Model 100%
• Fault Diagnosis 50%
• Real Data 50%
• Random Error 50%
• Gibbs Sampler 50%
• Error Term 50%