Title :
QAR based data-cube mining algorithm
Author :
Hongjun, Heng ; Fangfang, Zhao
Author_Institution :
College of Computer Science and Technology, Civil Aviation University of China, Tianjin, China
Abstract :
The QAR (Quick Access Recorder) records immense amounts of aircraft flight data which reflect the performance of every parts of aircraft. This paper describes the importance of analyzing QAR data in flight safety. We proposed a novel data-cube based method to process a large number of QAR data and extracts association rules about the parameters of aircraft engine which is useful for engine diagnostics and health management.
Keywords :
Aircraft; Aircraft propulsion; Association rules; Computer science; Educational institutions; Engines; QAR; aircraft safty; association rules; data cube; data mining;
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
DOI :
10.1109/ICISE.2010.5691750
