Importance Analysis of Numerical Controlled Rotary Table Base on Bayesian Network

Numerical controlled (NC) rotary table is a key component of numerical control machine tools. It is necessary to rank importance of each component, find the weak links, and then take maintenance measures to insure reliability. According to the working principle of the rotary table, one reliability model and one Bayesian network model were established. The probability of each node of the Bayesian network were calculated by using collected lifetime data. The weak link was identified by using the importance analysis method based on the Bayesian network. Then, the failure risk of each component was calculated and the optimal maintenance time is determined. The results show that the proposed method provides a feasibility technique for importance analysis of the rotary table.