火箭发动机故障检测的自适应相关算法的改进
[1] 陈启智. 液体火箭发动机故障检测与诊断研究的若干进展[J]. 宇航学报, 2003, 24(1): 1-11. (CHEN Q Z. Some progress in researches on fault detection and diagnosis of liquid rocket engine[J]. Journal of Astronautics, 2003, 24(1): 1-11. )
[2] 李艳军, 彭小辉, 程玉强, 等. 基于模糊模型的发动机部件级故障隔离方法研究[J]. 国防科技大学学报, 2013, 35(2): 22-26. (LI Y J, PENG X H, CHENG Y Q, et al. Research of fault component isolation algorithms for LRE base on fuzzy model[J]. Journal of National University of Defense Technology, 2013, 35(2): 22-26. )
[3] 刘洪刚, 魏鹏飞, 谢廷峰, 等. 液体火箭发动机地面试车过程的实时故障检测方法研究[J]. 宇航学报, 2007, 28(6):1660-1663, 1688. (LIU H G, WEI P F, XIE T F, et al. Research of real-time fault detection method for liquid propellant rocket engines in ground test[J]. Journal of Astronautics, 2007, 28(6):1660-1663, 1688. )
[4] 张素明, 安雪岩, 颜廷贵, 等. 大型运载火箭的健康管理技术应用分析与探讨[J]. 导弹与航天运载技术, 2013(6): 33-38. (ZHANG S M, AN X Y, YAN T G. Analysis and discussion of health management technology for large launch vehicle[J]. Missiles and Space Vehicles, 2013(6): 33-38. )
[5] 张惠军. 液体火箭发动机故障检测与诊断技术综述[J]. 火箭推进, 2005, 31(5): 40-45. (ZHANG H J. Study on liquid rocket engine fault detection and diagnostic technology[J]. Journal of Rocket Propulsion, 2005, 31(5): 40-45. )
[6] 耿辉, 张翔, 张素明, 等. 一种基于聚类分析的液体火箭发动机稳态过程故障诊断方法[J]. 火箭推进, 2014, 40(5):86-91. (GENG H, ZHANG X, ZHANG S M, et al. Cluster analysis based diagnosis method for fault in steady process of liquid propellant rocket engine[J]. Journal of Rocket Propulsion, 2014, 40(5):86-91. )
[7] 高鸣, 任海峰, 胡小平, 等. 独立分量分析在液体火箭发动机故障诊断中的应用[J]. 导弹与航天运载技术, 2013(4): 74-77. (GAO M, REN H F, HU X P, et al. Independent component analysis for fault diagnosis of the liquid rocket engine[J]. Missiles and Space Vehicles, 2013(4): 74-77. )
[8] 彭小辉, 刘垠杰, 程玉强, 等. 基于云分类器的液体火箭发动机故障诊断方法[J]. 国防科技大学学报, 2013, 35(6): 15-19. (PENG X H, LIU Y J, CHENG Y Q, et al. Fault diagnosis method for liquid-propellant rocket engines based on the cloud sorter[J]. Journal of National University of Defense Technology, 2013, 35(6): 15-19. )
[9] HONG T, LI H. Turbopump fault detection algorithm based on protruding frequency components RMS and SVM[C]//IEEE International Conference on Mechatronics and Automation (ICMA), 2013: 1311-1316.
[10] 谢廷峰, 刘洪刚, 黄强, 等. 液体火箭发动机地面试车实时故障检测算法[J]. 航天控制, 2008, 26(1): 74-78. (XIE T F, LIU H G, HUANG Q, et al. Real time fault detection algorithm for liquid-propellant rocket engine ground test[J]. Aerospace Control, 2008, 26(1): 74-78. )
[11] HU L, HU N Q, QIN G J, et al. Novelty detection based condition monitoring methods for the turbopump of a li-quid rocket engine[C]//Proceedings of the 24th International Congress on Condition Monitoring and Diagnostic Engineering Management, 2011: 1369-1376.
[12] 贾继德. 基于主成分分析的车用发动机振动状态综合评价[J]. 噪声与振动控制,2010, 30(3):94-96,175. (JIA J D. Comprehensive evaluation of vehicles engine vibration based on PCA[J]. Noise and Vibration Control, 2010, 30(3):94-96,175. )
[13] 朱恒伟, 王克昌. 液体火箭发动机地面试车故障检测的自适应相关方法[J]. 导弹与航天运载技术, 1998(3): 19-24. (ZHU H W, WANG K C. An adaptive correlation approach to fault detection of liquid rocket engine[J]. Missiles and Space Vehicles, 1998(3): 19-24. )
[14] 朱恒伟. 液体推进剂火箭发动机地面试车故障检测与诊断研究[D]. 长沙: 国防科学技术大学, 1997. (ZHU H W. Research on fault detection and diagnosis of liquid propellant rocket engine[D]. Changsha: National University of Defense Techonology, 1997. )
[15] 温冰清. 基于主元分析的故障检测与诊断研究[D]. 南京: 南京师范大学,2011. (WEN B Q. Research on fault detection and diagnosis based on principal component analysis[D]. Nanjing: Nanjing Normal University, 2011. )
[16] 李想. 基于主元分析的工业过程故障诊断算法研究[D]. 沈阳: 沈阳大学, 2010. (LI X. Industrial process fault diagnosis algorithum research based on PCA[D]. Shenyang: Shenyang University, 2010. )
张利彬, 李璨, 张翔, 安雪岩, 李文, 任章. 火箭发动机故障检测的自适应相关算法的改进[J]. 电光与控制, 2016, 23(6): 96. ZHANG Li-bin, LI Can, ZHANG Xiang, AN Xue-yan, LI Wen, REN Zhang. Improvement of Adaptive Correlation Algorithm for Rocket Engine Fault Detection[J]. Electronics Optics & Control, 2016, 23(6): 96.