Failure rate analysis and maintenance plan optimization method for civil aircraft parts based on data fusion  

作　　者：Kang CAO Yongjie ZHANG Jianfei FENG 

机构地区：[1]School of Civil Aviation,Northwestern Polytechnical University,Xi’an 710072,China [2]Shanghai Aircraft Design and Research Institute,Shanghai 201210,China

出　　处：《Chinese Journal of Aeronautics》2025年第1期306-324,共19页中国航空学报(英文版)

摘　　要：In the face of data scarcity in the optimization of maintenance strategies for civil aircraft,traditional failure data-driven methods are encountering challenges owing to the increasing reliability of aircraft design.This study addresses this issue by presenting a novel combined data fusion algorithm,which serves to enhance the accuracy and reliability of failure rate analysis for a specific aircraft model by integrating historical failure data from similar models as supplementary information.Through a comprehensive analysis of two different maintenance projects,this study illustrates the application process of the algorithm.Building upon the analysis results,this paper introduces the innovative equal integral value method as a replacement for the conventional equal interval method in the context of maintenance schedule optimization.The Monte Carlo simulation example validates that the equivalent essential value method surpasses the traditional method by over 20%in terms of inspection efficiency ratio.This discovery indicates that the equal critical value method not only upholds maintenance efficiency but also substantially decreases workload and maintenance costs.The findings of this study open up novel perspectives for airlines grappling with data scarcity,offer fresh strategies for the optimization of aviation maintenance practices,and chart a new course toward achieving more efficient and cost-effective maintenance schedule optimization through refined data analysis.

关 键 词：Small sample data Data fusion Failure rate Maintenance planning Aircraft parts 

分 类 号：V267[航空宇航科学与技术—航空宇航制造工程]