Title :
A novel gray clustering filtering algorithms for identifying the false alert in aircraft long-distance fault diagnosis
Author_Institution :
CAUC, Tianjin
Abstract :
The fault report is downloaded from the aircraft with ACARS for the line maintenance. This is widely attended currently. But the false alert often occurs in the fault report and drop the maintenance efficiency Aimed at the problem, the gray clustering filtering algorithms is set up based on gray cluster and filter theory .The algorithms can identify the false alert in the fault report effectively.
Keywords :
aircraft maintenance; fault diagnosis; filtering theory; pattern clustering; aircraft long-distance fault diagnosis; false alert; gray clustering filtering algorithms; line maintenance; Aircraft; Algorithm design and analysis; Fault diagnosis; Filtering algorithms; Humidity; Notice of Violation; Pattern analysis; Pattern recognition; Temperature; Wavelet analysis; ACARS; false alert; filtering; gray Clustering; long-distance fault diagnosis;
Conference_Titel :
Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-1065-1
Electronic_ISBN :
978-1-4244-1066-8
DOI :
10.1109/ICWAPR.2007.4420790