Fatigue failure of a composite conveyor belt occurs frequently, which will
finally lead to an accident. An adaptive segmentation model is established
to identify the rubber surface?s fatigue failure and to evaluate the belt
fatigue level by using the machine vision technology and the artificial bee
colony algorithm. The results show that the damage rate of rubber surface
can be correctly calculated and the fatigue failure state can be objectively
evaluated.