P. Sun

Data-driven intelligent diagnosis of bearing faults using sparse feature extraction and SVM

Rolling bearings are core supporting parts of rotating machinery. Practical fault diagnosis faces challenges including insufficient fault samples, difficult feature extraction and low identification efficiency. This paper proposes a data-driven method for time-frequency feature extraction and fault diagnosis. Firstly,...