| Bearings of the hoist head sheave are the most important parts of the mine hoisting system, and the running state of the bearings directly influences the performance of the mine hoisting system. Once the bearing fault occured, the whole mine hoisting system should not work properly, which would bring huge safety hazard and economic loss to the coal mine.This paper introduces a new method of time-frequency analysis HHT(Hilbert-Huang Transform). The HHT includes two parts:EMD decomposition and Hilbert transform, the latter is the most important part. The mode mixing problem occurred in the EMD decomposition is analyzed in this paper. We use the EEMD decomposition method to improve the original EMD decomposition method and verify the superiority of EEMD decomposition, based which we introduce a new method of HHT:EEMD+Hilbert transform.The method mentioned above is applied to the fault analysis of the mine hoist bearings in this paper, which brings the accurate analysis of the bearing fault into practice. The main research content of this paper includes:the process of the HHT signals decomposition is simulated, and the implementing steps of the method of HHT is explained; a experimental platform was built to get the analog signals of the fault bearings, then the HHT is employed to analog the signals to identify the fault features; thorough research is made on the method of the hoist head sheave bearings fault diagnosis, which has been applied to the second coal mine of JiNing, and the result is satisfying.Rolling bearings include four parts:inner-ring, outer-ring, rolling and retainer. The fault diagnosis of the first three parts is discussed. When fault occurs, the characteristic frequency of those three parts is different. Therefore, the location of the bearing's fault and the fault features can be estimated by the method of HHT. In all, we can make sure that rolling bearings can be inspected and repaired in time when the fault occurred, and make sure that the mine hoist system can work normally and the coal mine product safety. |