Title :
Research of a fault diagnosis algorithm for aerospace dynamic system based on analytic hierarchy process
Author :
Xiaohong, Meng ; Yongsheng, Ma ; Yongtao, Zhou ; Zongtao, Zhao
Author_Institution :
504 Section of Xi´´ an High-tech Institute, 710025, China
Abstract :
The dynamic part is failure-prone and sensitive areas in aerospace system. Based on structural stratum analysis of aerospace dynamic system, this paper analysis the traversal algorithm for tree structure using analytic hierarchy process. The fault diagnosis algorithm called GZSS-1 is put forward. Then the algorithm called GGZSS-1 is put forward based on study and ameliorate the GZSS-1. Actual application proved that using this algorithm can greatly save time and labor. Furthermore, it can improve the efficiency of fault diagnosis. According to preliminary statistics, it can save time more than 70 percent compared to traditional manual investigation. And this method only require one or two people. At the same time, the more diagnostic components, the more time is saved. The time-saving rate is stable at around 70 percent.
Keywords :
Aerodynamics; Algorithm design and analysis; Artificial neural networks; Bismuth; Fault diagnosis; Heuristic algorithms; Manganese; Aerospace Dynamic; Analytic Hierarchy Process; Fault Diagnosis;
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.2010.5689071