A Classified Situations Oriented Adaptive Scheduling Method of Robot-aided Aeroengine Faults Detection

Abstract

Nowadays with the rapid development of aviation industry, the demand for aircraft Maintenance Repair and Operation (MRO) is obviously increasing. Aeroengine fault detection, for its unpredictability and specialization, became a very important issue. In 2018, Rolls-Royce demonstrates the future of engine maintenance with robots. For this issue, considering the future view of robot-aided aeroengine fault detection, this article summarized the fault types of typical civil aeroengine, established the robot-aided aeroengine fault detection rules, and proposed a classified situations oriented adaptive scheduling method. Finally, the performance of the proposed method is compared with other three scheduling methods through experiments with GA, and the feasibility and rationality are verified in this article.