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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2008, Vol. 29 ›› Issue (3): 695-700.

• Avionics and Autocontrol • Previous Articles     Next Articles

A Gray Clustering Filtering Algorithm for Identifying False Alert in  Aircraft Longdistance Fault Diagnosis

Geng Hong1, Dong Jiankang2   

  1. 1. College of Aviation Automation, Civil Aviation University of China 2. General Administration Office, Civil Aviation University of China
  • Received:2007-09-02 Revised:2007-12-30 Online:2008-05-20 Published:2008-05-20
  • Contact: Geng Hong1

Abstract:

In the course of the line maintenance, “aircraft communication and addressing system(ACARS) false alert” in the fault report downloaded by the aircraft with ACARS often occurs which reduces the maintenance efficiency. To solve the problem, a gray clustering filtering algorithm is set up which is based on gray cluster and filter theory. The algorithm mainly adds a constant coefficient filter to the gray clustering algorithm. First the gray clustering algorithm uses current fault data in the fault report to diagnose false alert, and then the constant coefficient filter combines the result and past fault data to further identify the false alert.This improved the veracity of identification.The algorithm has already been applied in the airlines,which identified effectively the ACARS false alert in the fault report of aircraft Beoing 777.

Key words: ACARS,  , false , alert, aircraft , fault , diagnosis,  , gray , clustering

CLC Number: