A Fault Diagnosis Method of Rotating Machinery Based on Multi-scale Fuzzy Entropy

The application of feature extraction method in bearing fault diagnosis plays an important role in industrial applications. In recent years, the bearing fault diagnosis methods had a very big development, the direction of the fault diagnosis of rotating machinery using the database aims to extract the features using multi-scale entropy. Then, KNN classification method is applied to classify five fault types of gearboxes. The proposed method can be a promising approach for fault diagnosis of rotating machinery.