CAJ | 학술논문

状态监控与健康管理技术是国产民机运营支持亟待突破的关键技术,以民机引气系统为对象,设计实现了基于飞行数据( QAR,Quick access recorder)的民机引气系统异常检测流程,提出了贝叶斯网络分类的同工况数据提取和指数加权滑动平均( Exponentially Weighted Moving Average,EWMA)控制图的引气系统异常检测方法。借助航空公司收集的实际数据对方法进行了验证,结果表明可有效检测民机引气系统异常,并提前故障发现时间,为航空公司合理安排飞机维修计划、减少飞机停场时间提供了支持。
상태감공여건강관리기술시국산민궤운영지지극대돌파적관건기술,이민궤인기계통위대상,설계실현료기우비행수거( QAR,Quick access recorder)적민궤인기계통이상검측류정,제출료패협사망락분류적동공황수거제취화지수가권활동평균( Exponentially Weighted Moving Average,EWMA)공제도적인기계통이상검측방법。차조항공공사수집적실제수거대방법진행료험증,결과표명가유효검측민궤인기계통이상,병제전고장발현시간,위항공공사합리안배비궤유수계화、감소비궤정장시간제공료지지。
The technology of condition monitoring and health management is the breakthrough key technical of the domestic civil aircraft operators support. With civil aircraft bleed air system as the object of the research,a fault detection process based on flight data is designed and a method of fault detection for civil aircraft bleed air systems are proposed by the same state data extraction using bayesian netWork classification and exponentially Weighted moving average control chart. The method is validated by using actual data collected in airline. The results shoW that the proposed method not only can detect fault for civil aircraft bleed air system, but also found fault ahead of time, Which provides support for the airline to arrange aircraft maintenance programs reasonably, reduces aircraft doWntime.