The invention discloses a reliability modeling and risk
analysis method for a
numerical control machining center. The method comprises the following steps: acquiring field operation and maintenance data of the
numerical control machining center and dividing the whole
machine into a plurality of functional subsystems; constructing a
hybrid Weibull
distribution model for each subsystem, determining an optimal
hybrid component number by using AIC and BIC criteria, and performing parameter
estimation by using an EM
algorithm to characterize life characteristics
hybrid with
multiple failure mechanisms; based on a competitive
risk theory, calculating a cumulative
fault probability CFP of each subsystem and a first fault contribution degree FFC to complete
machine failure; and constructing a risk quadrant graph by taking the fault frequency and the first fault contribution degree as dimensions, evaluating the risk region category of each subsystem, and generating a differentiated
maintenance strategy. According to the method, the problem that a single
distribution model is difficult to adapt to heterogeneous fault data is solved, and the actual influence of the subsystem on the shutdown of the whole
machine can be quantitatively evaluated, so that a scientific
preventive maintenance plan is guided to be formulated.