A Study on Multi-Fault Diagnosis for Turboshaft Engine of UAV Using Fuzzy and Neural Networks |
Kong, Chang-Duk
(조선대학교 항공우주공학과)
Ki, Ja-Young ((주)이지가스터빈 R&D) Kho, Seong-Hee (조선대학교 항공우주공학과 대학원) Koo, Young-Ju (조선대학교 항공우주공학과 대학원) Lee, Chang-Ho (한국항공우주연구원) |
1 | Tsoukalas, L.H. and Uhrig, R.E., 1997,"Fuzzy and Neural Approaches inEngineering", John Wiley & Sons, Inc. |
2 | Kurzke, J., 2001, "A Program to caculateDesign and Off-Design Performance of GasTurbines", GasTurb 9 User's Manual. |
3 | Heykin, S., 1994, "Neural Networks – AComprehensive Foundation", Macmilian. |
4 | Urban, L.A., 1972, “Gas Path Analysis Applied to Turbine Engine Condition Monitoring”, J. of Aircraft, Vol. 10, No 7, pp. 400-406. DOI |
5 | Lu, P.J.,Zhang, M.C.,Hsu,T.C.,andZhan,J.,2000, “An Evaluation of Engine Faults Diagnostics using Artificial Neural Networks, Proceeding of ASME TURBO EXPO 2000, 2000-GT-0029. |
6 | “EEPP(Estimated Engine PerformanceProgram)Manual”, Pratt-Whiteny. |
7 | Lee, H. Y., Mun, G. I., 1999,"Fuzzy-Neuro using MATLAB", A-Jin. |
8 | Boyce, M.P., 2006, “Gas TurbineEngineering Handbook”, Elsevier Inc. |
9 | Diakunchak, I.S., "Performance Deterioration in Industrial Gas Turbines", Journal of Engineering for Gas Turbines and Power, Vol. 114, pp. 161-167, 1992. DOI |