Intelligent identification of incipient rolling bearing faults based on VMD and PCA-SVM

• Published in: Advances in mechanical engineering Vol. 14; no. 1
• Main Authors: Deng, Linfeng, Zhang, Aihua, Zhao, Rongzhen
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publications 01.01.2022; Sage Publications Ltd; SAGE Publishing
• Subjects: Bearings; Decomposition; Fault detection; Fault diagnosis; Feature extraction; Identification methods; Kurtosis; Mathematical analysis; Principal components analysis; Roller bearings; Rotating machinery; Support vector machines; Vibration; variational mode decomposition; support vector machine; energy and kurtosis; intelligent identification; principal component analysis; Incipient rolling bearing faults

Rolling bearings are the key components of rotating machinery. Incipient fault diagnosis of bearing plays an increasingly important role in guaranteeing normal and safe operation of rotating machinery. However, because of the high complexity of the fault feature extraction, the incipient faults of r...