Reliability centered early warning strategy for maintenance of medium speed coal mill

In view of the frequent failure of coal mill due to the variable coal quality of power plant, the failure mode and influence of the system components of a medium speed coal mill in a power plant were analyzed by combining the multi-state estimation algorithm, and a reliability oriented maintenance early warning strategy was proposed. By selecting the key parameters characterizing the operation state of medium speed coal mill and field expert experience as the analysis basis, the digital maintenance early warning system of medium speed coal mill is constructed. The application results show that the system can accurately judge the current operating state of the mill when it is running, and when there is a fault such as mill blocks coal, the system can predict the fault type in advance and give the corresponding solution suggestions. By using this system, the standardized maintenance process can be constructed, the fault early warning maintenance mechanism in the plant can be perfected, and the reliability of the mill operation can be guaranteed.