Research on Reliability Modeling of CNC System Based on Association Rule Mining

Lifetime failure data is often used in reliability modeling because of its advantage of convenient collection, but relatively large errors always existed when ignoring importance of failure correlation in reliability modeling for multiple failure positions and causes. Therefore, a reliability modeling based on degree of failure correlation was proposed, and failure correlation factor is introduced into parameter estimation part to fully reflect reliability information of lifetime failure data in reliability modeling. Then, using association rule mining technology, based on lifetime failure data to study failure correlation factor between failure positions and failure causes of CNC system. Finally, the study results show that the model which introduces failure correlation factor is suitable for modeling lifetime failure data of CNC system with multiple failure modes and causes.