Multi-source feature extraction of rolling bearing compression measurement signal based on independent component analysis

•A novel compressed sensing method for rolling bearing fault diagnosis is proposed.•The method is applied to multi-source composite fault signals.•Compression measurement signals are decomposed based on statistical independence.•Simulations and experiments validate the advantages and effectiveness.