Citation: | LANG Rongling, XU Zheping, GAO Fei, DENG Xiaole. A Knowledge Acquisition Method for Fault Diagnosis of Airborne Equipments Based on Support Vector Regression Machine[J]. Chinese Journal of Electronics, 2013, 22(2): 277-281. |
Hao Long, Xinmin Wang, "Application of aircraft fuel fault diagnostic expert system based on fuzzy neural network", International Conference on Information Engineering, pp.202-205, 2009.
|
G. Zhao, D.X. Jiang, K. Li, J.H. Diao, "Data mining for fault diagnosis and machine learning for rotating machinery", Key Engineering Materials, Vol.293-294, pp.175-182, 2005.
|
Yazhong Guo, Hongfu Zuo, Huawei Wang, "A gaining method for fault diagnosis rules in the civil aircraft based on rough set theory", Systems Engineering-Theory & Practice, Vol.11, pp.139-144, 2006.
|
Daqi Zhu, "A fault diagnosis algorithm for the photovoltaic radar electronic equipment based on quantum neural networks", Acta Electronica Sinica, Vol.34, No.3, pp.573-576, 2006. (in Chinese)
|
B. Baesens, T.V. Gestel, S. Viaene, M. Stepanova, J. Suykens and J. Vanthienen, "Benchmarking state-of-the-art classification algorithms for credit scoring", J. Operational Research Soc., Vol.54, No.6, pp.627-635, 2003.
|
N.Y. Deng, Y,J, Tian, A New Method of Data Mining: Support Vector Machine, Science Press, Beijing, China, 2004.
|
David Martens, Bart Baesens, and Tony Van Gestel, "Decompositional rule extraction from support vector machines by active learning", IEEE Transactions on Knowledge and Data Engineering, Vol.21, No.2, pp.178-189, 2009.
|
Jingxin Zhang, "Research and application of knowledge acquisition methods for expert system", M.S. Thesis, Beihang University, Beijing, China, 2007.
|
X.J. Guo, "Fault diagnosis model of aircraft avionics system", Control and Decision Conference, pp.587-590, 2008.
|
J. Zhang and Q. Gao, "Optimization of fuzzy rules by muiltiobjective genetic algorithm in avionic fault diagnosis system", IEEE International Conference on Intelligent Computing and Intelligent Systems, pp.433-437, 2009.
|
Y.Q. Xiao and Y.G. He, "A novel approach for analog fault diagnosis based on neural networks and improved kernel PCA", Neurocomputing, Vol.74, pp.1102-1115, 2011.
|