| Citation: | Aero-engine exhaust gas temperature prediction model based on IFOA-GRNN[J]. Journal of Aerospace Power, 2019, 34(1): 8-17. doi: 10.13224/j.cnki.jasp.2019.01.002
|
| [1] |
薛薇,郭迎清,李睿.航空发动机状态监视、故障诊断研究及验证［J］.推进技术,2011,32(2):271-275.XUE Wei,GUO Yingqing,LI Rui.Algorithm and experimental validation for condition monitoring,fault detection for gas turbine engine［J］.Journal of Propulsion Technology,2011,32(2):271-275.(in Chinese)
|
| [2] |
吕永乐,郎荣玲,路辉,等.航空发动机性能参数联合RBFPN和FAR预测［J］.北京航空航天大学学报,2010,36(2):131-134.L Yongle,LANG Rongling,LU Hui,et al.Prediction of aeroengines performance parameter combining RBFPN and FAR［J］.Journal of Beijing University of Aeronautics and Astronautics,2010,36(2):131-134.(in Chinese)
|
| [3] |
KUMAR A,SRIVASTAVA A,GOEL N,et al.Exhaust gas temperature data prediction by autoregressive models［C］∥Proceeding of the IEEE 28th Canadian Conference on Electrical and Computer Engineering.Halifax,Canada:IEEE,2015:976-981.
|
| [4] |
ILBAS M,TURKMEN M.Estimation of exhaust gas temperature using artificial neural network in turbofan engines［J］.Journal of Thermal Science and Technology,2012,32(2):11-18.
|
| [5] |
YILMAZ I.Evaluation of the relationship between exhaust gas temperature and operational parameters in CFM56-7B engines［J］.Proceedings of the Institution of Mechanical Engineers,2009,223(4):433-440.
|
| [6] |
于广滨,丁刚,姚威,等.基于支持过程向量机的航空发动机排气温度预测［J］.电机与控制学报,2013,17(8):30-36.YU Guangbin,DING Gang,YAO Wei,et al.Aeroengine exhaust gas temperature prediction using support process vector machine［J］.Electric Machines and Control,2013,17(8):30-36.(in Chinese)
|
| [7] |
钟诗胜,雷达,丁刚.卷积和离散过程神经网络及其在航空发动机排气温度预测中的应用［J］.航空学报,2012,33(3):438-445.ZHONG Shisheng,LEI Da,DING Gang.Convolution sum discrete process neural network and its application in aeroengine exhausted gas temperature prediction［J］.Acta Aeronautica et Astronautica Sinica,2012,33(3):438-445.(in Chinese)
|
| [8] |
丁刚,徐敏强,侯立国.基于过程神经网络的航空发动机排气温度预测［J］.航空动力学报,2009,24(5):1035-1039.DING Gang,XU Minqiang,HOU Liguo.Prediction of aeroengine exhaust gas temperature using process neural network［J］.Journal of Aerospace Power,2009,24(5):1035-1039.(in Chinese)
|
| [9] |
陈娇,王永泓,翁史烈.广义回归神经网络在燃气轮机排气温度传感器故障检测中的应用［J］.中国电机工程学报,2009,29(32):92-97.CHEN Jiao,WANG Yonghong,WENG Shilie.Application of general regression neural network in fault detection of exhaust temperature sensors on gas turbines［J］.Proceedings of the CSEE,2009,29(32):92-97.(in Chinese)
|
| [10] |
PANDA B N,BAHUBALENDRUNI V A R M,BISWAL B B.Optimization of resistance spot welding parameters using differential evolution algorithm and GRNN［C］∥Proceedings of 8th IEEE International Conference on Intelligent Systems and Control.Coimbatore,India:IEEE,2014:50-55.
|
| [11] |
潘文超.果蝇最佳化演算法:最新演化式计算技术［M］.台北：沧海书局，2011.
|
| [12] |
PAN W T.A new fruit fly optimization algorithm:taking the financial distress model as an example［J］.Knowledge-Based Systems,2012,26:69-74.
|
| [13] |
LI Hongze,GUO Sen,LI Chunjie,et al.A hybrid annual power load forecasting model based on generalized regression neural network with fruit fly optimization algorithm［J］.Knowledge-Based Systems,2013,37:378-387.
|
| [14] |
王友卫,朱建明,凤丽洲.基于群密度的改进果蝇优化算法及在异常检测中的应用［J］.工程科学与技术,2017,49(5):127-134.WANG Youwei,ZHU Jianming,FENG Lizhou.Improved fruit fly optimization algorithm based on population density and its application in anomaly detection［J］.Advanced Engineering Sciences,2017,49(5):127-134.(in Chinese)
|
| [15] |
唐鸣东,史秀志,周健,等.基于CFOA-GRNN的冲击地压危险等级预测［J］.中国安全科学学报,2016,26(12):110-115.TANG Mingdong,SHI Xiuzhi,ZHOU Jian,et al.Prediction of rock-burst risk rating based on CFOA-GRNN network［J］.China Safety Science Journal,2016,26(12):110-115.(in Chinese)
|
| [16] |
李冬辉,尹海燕,郑博文.基于MFOA-GRNN模型的年电力负荷预测［J］.电网技术,2018,42(2):585-590.LI Donghui,YIN Haiyan,ZHENG Bowen.An annual load forecasting model based on generalized regression neural network with multi-swarm fruit fly optimization algorithm［J］.Power System Technology,2018,42(2):585-590.(in Chinese)
|
| [17] |
LI Penghua,HU Fangchao,LI Yingguo.Speaker identification based on gammatonecepstral coefficients and general regression neural network［C］∥Proceedings of Control and Decision Conference (2014 CCDC).Changsha,China:IEEE,2014:751-756.
|
| [18] |
TOMANDL D,SCHOBER A.Modified general regression neural network (MGRNN) with new efficient training algorithms as a robust black box-tool for data analysis［J］.Neural Network,2001,14(8):1023-1034.
|
| [19] |
LI Hongze,GUO Sen,ZHAO Huiru,et al.Annual electric load forecasting by a least squares support vector machine with a fruit fly optimization algorithm［J］.Energies,2012,5(11):4430-4445.
|
DownLoad: