Operational Risk Modeling of CNC Machine Tool Considering Workpiece Quality

With the advent of the era of big data and intelligent manufacturing, the structure of CNC machine tool has become more and more sophisticated and complex, and the risks of CNC machine tool during operation have become more and more diverse. Only by analyzing, evaluating and maintaining CNC machine operational risks activities to reduce its operational risk. Among the risks, substandard workpiece quality has gradually become the biggest risk in the operation of CNC machine tools, and this risk is usually ignored by people. Therefore, this paper proposes a modeling method for CNC machine tools based on operational risk that considers the quality of the workpiece. Firstly, define the operational risk system of CNC machine, and divide the operational risk of CNC machine into two parts: production risk and use risk. Secondly, the production risk and use risk of CNC machine are modeled separately, and the operational risk of CNC machine will be evaluated by Bayesian network for the CNC machine system. Finally, an example is given to illustrate the feasibility of the modeling method.