Monitoring and diagnosis technique on slewing bearing

Slewing bearing is widely used in engineering machinery, wind power generation, rotating restaurant and so on. Therefore, it is essentail to a study of monitoring and daiagnosis technique for slewing bearing. In this article, slewing bearing monitoring and diagnosis technique based on the singal of vibration, temperature, friction torque, acoustic emission, stress wave are introduced, including the methods of singal processing, especially Hilbert-Huang Transform (HHT), Ensemble Empirical Mode Decomposition-Based Multiscale Principal Component Analysis (EEMD-MSPCA) for local fault singal processing are detailed described. At last, various methods are compared.