Research on Civil Aircraft Structural Repair Scheme Generation Technology Based on KNN and FAHP-entropy Method
In order to improve the efficiency of civil aircraft structure maintenance decision-making and ensure the flight airworthiness of aircraft,a civil aircraft structure repair scheme generation method based on the combination of K-nearest neighbor(KNN)and fuzzy analytic hierarchy process(FAHP)-entropy method was proposed.Firstly,according to the type of features of aircraft structural maintenance cases,the key features that affect the maintenance decision are screened.Secondly,the FAHP-entropy method was used to quantitatively describe the weights of case feature attributes.Finally,combined with the actual maintenance cases of airlines,the improved KNN method is used to calculate the similarity between the source case and the target case to evaluate the proximity between the two.The results show that the method combining KNN and FAHP-entropy method can effectively calculate the similarity of aircraft structure maintenance cases,which has important theoretical significance and engineering application value for the digital maintenance and intelligent decision-making of civil aircraft structures.
万方数据
