Author:
Dai Shaowu,Chen Qiangqiang,Dai Hongde
Abstract
Abstract
The Flight Data Recording System (FDRS) records a lot of parameters of the aircraft during flight, which can be used for the test-flying, training mission of aircraft and so on. Effected by the working environment, information interference and its non-stability, the outliers and noise often exists in the FDRS data. These noises and outliers have a great impact on the use of FDRS. The aim of this paper is to remove outliers and de-noising of navigation data in FDRS. The causes of outliers and noise in FDRS data are analyzed firstly, with a reference suggestion proposed. Then the Letts criterion is used to remove outliers and the Modified Ensemble Empirical Mode Decomposition (MEEMD) is applied to achieve denoising for FDRS. Results demonstrate that outliers are removed and the navigation data are de-noised effectively.
Subject
General Physics and Astronomy
Reference20 articles.
1. Unlimited and protected memory for flight data recorders[J];Wiseman;Aircraft Engineering and Aerospace Technology,2016
2. An Intelligent Flight Data Recorder And Real-Time Monitoring System[J];Aborizka;Journal of Public Health Management & Practice Jphmp,2007
3. Estimation of aircraft taxi fuel burn using flight data recorder archives[J];Khadilkar;Transportation Research Part D: Transport and Environment,2012