Title :
Research on anti-icy system reliability evaluation based on isomeric grey information fusion
Author :
Song Wen ; Zhu Jianjun
Author_Institution :
Coll. of Econ. & Manage., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
Abstract :
Grey information fusion problem is studied in the complex commercial aircraft anti-icing system for the reliability evaluation. Since the reliability of commercial aircraft anti-icing system is immeasurable, the experience of experts must be fully relied on. Firstly, the heterogeneous grey information is processed into interval grey numbers or intrinsic grey numbers; Secondly, based on the consistency of evaluation information and the principle of minimizing interval grey weight deviation, the interval grey weight modeling method is proposed; Thirdly, the nonlinear aggregation model of interval grey method is built; Finally, the reliability evaluation methodology of commercial aircraft anti-icing system is applied to a numerical example.
Keywords :
air safety; aircraft; grey systems; reliability theory; complex commercial aircraft antiicing system; heterogeneous grey information; interval grey method; interval grey number; interval grey weight deviation; interval grey weight modeling; intrinsic grey number; isomeric grey information fusion; nonlinear aggregation model; reliability evaluation; Airplanes; Artificial intelligence; Fasteners; Hair; Ice; Propellers; Reliability; anti-icing system; information fusion; isomeric grey information; reliability evaluation;
Conference_Titel :
Grey Systems and Intelligent Services (GSIS), 2011 IEEE International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-61284-490-9
DOI :
10.1109/GSIS.2011.6044131