... avenues for future exploration. Machine learning Data-driven Fault detection Model comparison The detection of faults in rotating mechanical systems represents a critical domain within mechanical engineering, particularly in the context of predictive maintenance and the enhancement...

... in the mathematical model. The uncertain transportation duration and cost are represented by random number that obeys a certain distribution and designed NSGA-II with MC simulation to solve the proposed problem. The data-driven strategy is adopted to reduce the computational time caused by the combination...