Electronics Optics & Control, Volume. 21, Issue 2, 55(2014)
A Brief Review on Modeling and Simulation in Aircraft Battle Damage Repair Studies
[1] [1] ZHANG J H.Aircraft battle damage repair engineering[M].Beijing:National Defense Industry Press, 2007.
[2] [2] PAN Q J, XIONG L S, LIU X S.Design and development of composite aircraft battle damage repair simulation system[J].Acta Armamentarii, 2007, 28(11):1401-1404.
[3] [3] CHENG L, HAN G Z.Confirming model of equipment maintenance spare parts varieties in battlefield based on FAHP[J].O.I.Automation, 2006, 25(4):17-19.
[4] [4] CAI K L, YAO W W, SUN Y F, et al.Spare part requirement prediction method of aircraft battle damage repair[J].Electronics Optics & Control, 2010, 17(12):60-63.
[5] [5] CHENG L.Optimizing model for the confirming of equipment battlefield maintenance spare parts varieties[J].Aviation Maintenance and Engineering, 2006(4):55-57.
[6] [6] TIAN J, ZHAO T D, LIU Z.Dynamics principles and dynamic actions of supply support system for spare parts[J].Acta Aeronautical Et Astronautical Sinica, 2007, 28(5):1104-1109.
[7] [7] HU Y F, SONG B F, WANG X.Ascertaining of spares requirements for aircraft battle damage[J].Acta Aeronautical Et Astronautical Sinica, 2009, 30(3):450-455.
[8] [8] HOU M Y, LI S L.An evaluation system of the military aircraft battle damage resilience[J].Aviation Maintenance and Engineering, 2006(2):27-29.
[9] [9] ZHANG J Y, LI W Q, XI B Z, et al.Investigation into combat resilience design for military aircrafts[J].Chinese Journal of Construction Machinery, 2009, 7(4):478-483.
[10] [10] HOU M Y, LI S L, LI S A.Evaluation of aircraft battle damage repair capability based on gray correlation-hierarchical analysis[J].Electronics Optics & Control, 2006, 13(6):68-71.
[11] [11] ZHANG J Y, LI W Q, LIU X X, et al.Research on methods for evaluating the design of aircraft combat resilience[J].Aircraft Design, 2010, 30(6):71-74.
[12] [12] ZHANG J Y, LI W Q, ZHOU P H, et al.SPA evaluation model based on characteristic feature of aircraft combat resilience[J].Journal of Northeastern University:Natural Science, 2010, 31(5):708-712.
[13] [13] CHEN J H, FENG J.Research on battlefield equipment repairs ranking of warship based on BP neural network[J].Ship Science and Technology, 2011, 33(7):126-129.
[14] [14] YAN B B, XU H, SHI Q.Decision-making model for ranking battlefield damaged equipment repairs based on multi-criteria[J].Journal of Ordnance Engineering College, 2007, 19(1):1-3.
[15] [15] CHEN Y J, GUO Y Z, JIANG Z M, et al.A method for ranking battlefield damaged equipment repairs of radar net based on entropy weight multi-objective decision making[J].Journal of Ordnance Engineering College, 2008, 20(5):19-21.
[16] [16] YAO M Q, CHENG Z B, LIN X C, et al.Decision making of battlefield repair under the conditions limited by time and spares[J].China Ship Repair, 2008, 21(6):43-45.
[17] [17] CHEN J H, FENG J.Application of entropy weight and grey relevancy to battlefield equipment repairs ranking of warship[J].Ship Science and Technology, 2011, 33(3):131-134.
[19] [19] ZHAO X M, WU C, QI S L, et al.Research on modeling for battlefield damage assessment repair system of communication and navigation equipment based on TPN[J].Journal of Air Force Engineering University:Natural Science Edition, 2007, 18(6):55-58.
[20] [20] DONG C X, WU C, ZHENG Z H.The effectiveness assessment on BDAR for communication equipment based on colored Petri nets[J].Journal of the Academy of Equipment Command & Technology, 2006, 17(3):112-115.
[21] [21] DONG C X, ZHENG Z H, WU C.BDAR system effectiveness optimization for communication equipment based on CPN[J].Journal of Air Force Engineering University:Natural Science Edition, 2006, 17(4):75-78.
[22] [22] QI S L, WU C, ZHAO X M.Study on modeling of communication equipment BDAR system based on UML-BD[J].Journal of Ordnance Engineering College, 2007, 19(1):4-6.
[23] [23] YE Q, SONG J Z, CHEN C X.Repairing unit location problem in background of mobile battle[J].Journal of Southwest Jiaotong University, 2012, 47(3):495-501.
[24] [24] SUN Y.Research for optimal repair path of communication lines based on ant colony algorithm[J].Computer Knowledge and Technology, 2011, 7(7):1619-1621.
[25] [25] YE Z.Application and study of fuzzy comprehensive evaluation methods based on AHP[D].Guangzhou:South China University of Technology, 2010.
[26] [26] XUE W G.Study on image edge detection based on gray correlation[D].Kunming: Yunnan Normal University, 2008.
[27] [27] CHANG J E, JIANG T L.Research on the weight of coefficient through analytic hierarchy process[J].Journal of Wuhan University of Technology:Information and Mana-gement Engineering, 2007, 29(1):153-156.
[28] [28] HOU Y B, DU J Y, WANG H.Neural network[M].Xian:Xidian University Press, 2007.
Get Citation
Copy Citation Text
ZHAO Pei-zhong, JI Bo-lin, WEI Hua-kai, DAI Jing-tao, HU Fang-you. A Brief Review on Modeling and Simulation in Aircraft Battle Damage Repair Studies[J]. Electronics Optics & Control, 2014, 21(2): 55
Category:
Received: Mar. 31, 2013
Accepted: --
Published Online: Feb. 18, 2014
The Author Email: