TY - GEN
T1 - Civil aeroengine health management and maintenance decision support system
T2 - 2013 Aviation Technology, Integration, and Operations Conference
AU - Xu-Yun, Fu
AU - Shi-Sheng, Zhong
AU - Ji-Ming, Zhu
PY - 2013
Y1 - 2013
N2 - The aeroengine is the heart of the aircraft. Its failure will affect the flight of the aircraft and even lead to catastrophic accidents, and its maintenance costs are a direct impact on the airline's operating costs. With the expansion of an airline's fleet, existing geographical boundaries are gradually broken. Thus, it is of great significance that establishing an aeroengine maintenance management platform to meet the airlines' rapid expansion and development requirements of the modern civil aviation technology. Based on the analysis of airlines' role in the aeroengine lifecycle, this paper proposes the system overall solution. Secondly, some key technologies are introduced, which contain the aeroengine operation and maintenance process control based on the aeroengine status and operation, the performance parameters prediction based on the process neural network, the multi-objective combinatorial optimization model on aeroengine maintenance plan and the objective-oriented method for aeroengine maintenance workscope decision. Finally, the civil aeroengine health management and maintenance decision support system is developed based on actual needs of Air China and applications of the system in Air China are also described.
AB - The aeroengine is the heart of the aircraft. Its failure will affect the flight of the aircraft and even lead to catastrophic accidents, and its maintenance costs are a direct impact on the airline's operating costs. With the expansion of an airline's fleet, existing geographical boundaries are gradually broken. Thus, it is of great significance that establishing an aeroengine maintenance management platform to meet the airlines' rapid expansion and development requirements of the modern civil aviation technology. Based on the analysis of airlines' role in the aeroengine lifecycle, this paper proposes the system overall solution. Secondly, some key technologies are introduced, which contain the aeroengine operation and maintenance process control based on the aeroengine status and operation, the performance parameters prediction based on the process neural network, the multi-objective combinatorial optimization model on aeroengine maintenance plan and the objective-oriented method for aeroengine maintenance workscope decision. Finally, the civil aeroengine health management and maintenance decision support system is developed based on actual needs of Air China and applications of the system in Air China are also described.
UR - https://www.scopus.com/pages/publications/84883675845
M3 - 会议稿件
AN - SCOPUS:84883675845
SN - 9781624102257
T3 - 2013 Aviation Technology, Integration, and Operations Conference
BT - 2013 Aviation Technology, Integration, and Operations Conference
Y2 - 12 August 2013 through 14 August 2013
ER -