| Citation: | WANG Xiu-yan, LI Cui-fang, GAO Ming-yang, LI Zong-shuai. Fault diagnosis of aero-engine gas path based on SVM and SNN[J]. Journal of Aerospace Power, 2014, (10): 2493-2498. doi: 10.13224/j.cnki.jasp.2014.10.029
|
| [1] |
李一波,张光明,蒋丽英.航空发动机气路故障诊断技术研究现状[J].燃气轮机技术,2009,22(3):10-15. LI Yibo,ZHANG Guangming,JIANG Liying.Research of aero-engine gas path fault diagnosis technology[J].Gas Turbine Technology,2009,22(3):10-15.(in Chinese)
|
| [2] |
邓明,金业壮.航空发动机故障诊断[M].北京:北京航空航天大学出版社,2012.
|
| [3] |
张学工.关于统计学习理论与支持向量机[J].自动化学报,2000,26(1):32-42. ZHANG Xuegong.Introduction to statistical learning theory and support vector machines[J].Acta Automatica Sinica,2000,26(1):32-42.(in Chinese)
|
| [4] |
高隽.人工神经网络原理及仿真实例[M].北京:机械工业出版社,2003.
|
| [5] |
易辉,宋晓峰,姜斌,等.基于结点优化的决策导向无环图支持向量机及其在故障诊断中的应用[J].自动化学报,2010,36(3):427-432. YI Hui,SONG Xiaofeng,JIANG Bin,et al.Support vector machine based on nodes refined decision directed a cyclic graph and its application to fault diagnosis[J].Acta Automatica Sinica,2010,36(3):427-432.(in Chinese)
|
| [6] |
徐启华,师军.基于支持向量机的航空发动机故障诊断[J].航空动力学报,2005,20(2):298-302. XU Qihua,SHI Jun.Aero-engine fault diagnosis based on support vector machine[J].Journal of Aerospace Power,2005,20(2):298-302.(in Chinese)
|
| [7] |
陈果.基于遗传算法的支持向量机分类器模型参数优化[J].机械科学与技术,2007,26(3):347-350. CHEN Guo.Optimizing the parameters of support vector machine's classifier model based on genetic algorithm[J].Mechanical Science and Technology,2007,26(3):347-350.(in Chinese)
|
| [8] |
邵信光,杨慧中,陈刚.基于粒子群优化算法的支持向量机参数选择及其应用[J].控制理论与应用,2006,23(5):347-350. SHAO Xinguang,YANG Huizhong,CHEN Gang.Parameters selection and application of support vector machines based on particle swarm optimization algorithm[J].Control Theory and Applications,2006,23(5):347-350.(in Chinese)
|
| [9] |
刘秉瀚,王伟智,方秀端.协同模式识别方法综述[J].系统工程与电子技术,2003,25(6):758-762. LIU Binghan,WANG Weizhi,FANG Xiuduan.A survey of the synergetic algorithm for pattern recognition[J].Systems Engineering and Electronics,2003,25(6):758-762.(in Chinese)
|
| [10] |
Olemskoi A I,Khomenko A V.Synergetic theory for a jamming transition in traffic flow[J].Physical Review E:Statistical,Nonlinear,and Soft Matter Physics,2001,63(3):36116.1-36116.4.
|
| [11] |
Cerra D,Muller R,Reinartz P.A classification algorithm for hyperspectral images based on synergetics theory[J].Transactions on Geoscience and Remote Sensing,2013,51(5):2887-2898.
|
| [12] |
Nakagawa M.A circularly connected synergetic neural network[J].IEICE Transactions on Fundamentals of Electronics,Communications and Computer Sciences,2000,E83-A(5):909-922.
|
| [13] |
彭淑宏.航空发动机气路故障诊断技术研究[D].上海:上海交通大学,2012. PENG Shuhong.Study on gas path fault diagnosis technology of aeroengine[D].Shanghai:Shanghai Jiao Tong University,2012.(in Chinese)
|
| [14] |
张凤鸣,惠晓滨.航空装备故障诊断学[M].北京:国防工业出版社,2010.
|
| [15] |
董火明,高隽,陈定国,等.协同神经网络聚类型学习算法[J].合肥工业大学学报,2002,25(4):492-495. DONG Huoming,GAO Jun,CHEN Dingguo,et al.Cluster learning algorithm of synergetic neural network[J].Journal of Hefei University of Technology,2002,25(4):492-495.(in Chinese)
|
| [16] |
潘连荣.基于协同学理论的变压器故障诊断研究[D].天津:天津大学,2008. PAN Lianrong.Research on the transformer fault diagnosis based on synergetic theory[D].Tianjin:Tianjin University,2008.(in Chinese)
|
DownLoad: