Abstract
In order to monitor the condition of rotating machinery used in power plants or factories, many rotating machinery diagnosis systems have been developed. However, the lifetime prediction capabilities of these diagnosis systems were not enough to determine the appropriate maintenance timing based on the machinery condition. In this paper, to extend the maintenance period of rotating machinery, we have developed a new lifetime prediction method for rolling element bearing that can estimate the remaining life at an earlier stage than conventional methods. In the developing of the lifetime prediction method, we have considered the fatigue mode of rolling element bearings, and we have constructed a life prediction algorithm using a general acceleration sensor for low cost. Developing this method, we can predict the remaining life of rolling element bearings at an early stage, and it can be expected to make maintenance more efficient.
