王雷.基于神经网络的复杂工业过程混合智能建模研究[D].合肥:中国科技大学, 2003. Wang Lei. Hybrid intelligent modeling of complex industrial process based on neural network[D]. Hefei: University of Science and Technology of China, 2003. (in Chinese)
[2]
石小琳,孙志毅,何秋生,等.信息融合技术在管道泄漏检测与定位中的应用[J].化工自动化及仪表,2011,38(7):789-792. Shi Xiaolin,Sun Zhiyi,He Qiusheng,et al. Information fusion application in oil pipeline leakage detection and location[J]. Control and Instruments in Chemical Industry,2011,38(7):789-792. (in Chinese)
[3]
Ellul I R. Advances in pipeline leak detection techniques[J]. Pipes and Pipelines International, 1989, 34(3):7-12.
[4]
赵江,王昭雷,赵英宝,等.基于信息融合的管道泄漏检测与定位技术应用研究[J].计算机测量与控制,2008,16(7):923-925. Zhao Jiang,Wang Zhaolei,Zhao Yingbao,et al. Application research of pipeline leakage detection and localization based on information fusion technology[J]. Computer Measurement & Control,2008,16(7):923-925. (in Chinese)
[5]
Hu Qiong, Fan Shidong. Pipeline leak detection testing system based on negative pressure wave and flow[J]. Journal of Wuhan University of Technology (Transportation Science & Engineering), 2009, 33(2):402-406.
[6]
耿艳峰, 张朝晖.气体长输管线泄漏检测技术[J].仪器仪表学报, 2001, 22(4):328-330. Geng Yanfeng, Zhang Chaohui. Leak detection technology for the long gas pipeline[J]. Chinese Journal of Scientific Instrument, 2001, 22(4):328-330. (in Chinese)
[7]
李长俊.天然气管道输送[M].2版.北京:石油工业出版社, 2008:64-65, 168-175. Li Changjun. Natural gas pipeline transportation[M]. 2nd ed. Beijing: Oil Industry Press, 2008:64-65, 168-175. (in Chinese)
[8]
胡松, 江小炜, 杨光, 等.滑动平均滤波在微弱脉冲信号检测中的应用[J].计算机与数字工程, 2007, 35(10):169-171. Hu Song, Jiang Xiaowei, Yang Guang, et al. Using of moving average filter in faint pulse signal detection[J]. Computer and Digital Engineering, 2007, 35(10):169-171. (in Chinese)
[9]
何小阳, 李健, 闵力, 等.精馏塔的机理:神经网络混合建模[J].控制工程, 2009, 16(2):211-213. He Xiaoyang, Li Jian, Min Li, et al. Modeling of distillation column based on hybrid neural network and prior knowledge[J]. Control Engineering of China, 2009, 16(2):211-213. (in Chinese)
[10]
Bostjan P W. Hybrid modeling and optimal control of a multi-product batch plant[J]. Control Engineering Practice, 2004, 12(9):1127-1137.
[11]
Ng C W, Hussain M A. Hybrid neural network-prior knowledge model in temprature control of a semi-batch polymerization process[J]. Chemical Engineering and Processing, 2004, 43(4):559-570.
