Typical mission profiles of aeroengine not only represent flight mission characteristics, but also weigh up life damage resulting from flight missions. Low cycle fatigue damage, steady creep damage and thermal shock damage are regarded as the dominate elements of mission profile induction. In view of a certain type of aeroengine 77 statistical parameters of 13 flight parameters are composed of original load matrix, and then 71 flight profiles are clustered and induced on the system clustering method, principal component clustering method and fuzzy clustering method. The results show that the original load matrix reflects aeroengine usage employ and that parameters of profile induction have strong independence from each other. In comparison with other methods, the mission profile collections on the system clustering method enable to reflect corporate characteristics and attributes.