A strong noise-bearing fault diagnosis method based on A-CPO dual-stage associated parameter optimization
In practical rolling bearing fault diagnosis, the bearing vibration signals collected by sensors are often mixed with a large amount of noise, which blurs key fault features and reduces the distinguishability among different types of faults. This issue not only undermines the reliability of feature extraction but als...