[1] 郭霄峰, 李耀华, 陈鸿彦, 等. 液体火箭发动机试验[M]. 北京:中国宇航出版社, 1990.GUO X F, LI Y H, CHEN H Y, et al. Liquid rocket engine test[M]. Beijing:China Aerospace Press, 1990. (in Chinese)
[2] 窦唯, 刘占生. 液体火箭发动机涡轮泵故障诊断的新方法[J]. 推进技术, 2011, 32(2):1-2.DOU W, LIU Z S. A new fault diagnosis method for turbopump of liquid rocket engine[J]. Journal of Propulsion Technology, 2011, 32(2):1-2. (in Chinese)
[3] 中国人民解放军总装备部军事训练教材编辑工作委员会. 运载火箭推进系统[M]. 北京:国防工业出版社, 2002.Editorial Committee of military training materials of General Equipment Department of PLA. Launch Vehicle Propulsion System[M]. Beijing:National Defense Industry Press, 2002. (in Chinese)
[4] 于潇, 廖明夫, 赵冲冲. 液体火箭发动机涡轮泵状态监测与故障诊断系统研究[J]. 导弹与航天运载技术, 2002, 258(4):55-56.YU X, LIAO M F, ZHAO C C. Condition monitoring and fault diagnosing system of liquid propellant rocket engine turbopump[J]. Missiles and Space Vehicles, 2002, 258(4):55-56. (in Chinese)
[5] 杨懿, 李薇. 液体火箭发动机启动段振动信号的小波去噪[J]. 火箭推进, 2012, 38(5):77-78.YANG Y, LI W. Wavelet transform based denoising of vibration signal generated in ignition shock section of liquid rocket engine[J]. Journal of Propulsion, 2012, 38(5):77-78. (in Chinese)
[6] 郭贵喜, 王振华, 王洪祥, 等. 基于HHT的航空发动机气动失稳信号时频分析方法[J]. 航空发动机, 2013, 39(3):62-66.GUO G X, WANG Z H, WANG H X, et al. Time-frequency analysis method of aeroengine aerodynamic instability signal based on Hilbert-Huang transform[J]. Aeroengine, 2013, 39(3):62-66. (in Chinese)
[7] 马栋梁, 周涛, 冯祥, 等. 超临界水自然循环流量信号降噪分析[J]. 核动力工程, 2019, 40(2):155-160.MA D L, ZHOU T, FENG X, et al. Analysis of signal noise of supercritical water natural circulation flow[J]. Nuclear Power Engineering, 2019, 40(2):155-160. (in Chinese)
[8] 郭洪涛, 徐来武, 吴继飞, 等. 非平稳脉动压力数据的SPWVD时频分析技术研究[J]. 实验流体力学. 2011, 25(5):40-44. GUO H T, XU L W, WU J F, et al. Investigation on SPWVD time-frequency analysis technique for unstationary fluctuating pressure data[J]. Journal of Experiments in Fluid Mechanics. 2011, 25(5):40-44. (in Chinese)
[9] HUANG N E. The Hilbert-Huang transform and its applications[M]. Singapore:World Scientific, 2005.
[10] 钟飞, 张伟, 钟约先. Hilbert-Huang变换去除可控振源谐波畸变[J]. 清华大学学报(自然科学版), 2011, 51(6):862-867.ZHONG F, ZHANG W, ZHONG Y X. Removal of harmonic distortions in vibroseis data using the Hilbert-Huang transformation[J]. Journal of Tsinghua University (Science and Technology), 2011, 51(6):862-867. (in Chinese)
[11] 薛志成, 裴强, 胡波. 基于HHT边际移动谱的结构参数时变特性识别[J]. 清华大学学报(自然科学版), 2013, 53(8):1132-1138.XUE Z C, PEI Q, HU B. Time-varying identification of structural modal parameters based on HHT marginal shift spectrum[J].Journal of Tsinghua University (Science and Technology), 2013, 53(8):1132-1138. (in Chinese)
[12] 韦娟, 顾兴权, 宁方立. Hilbert时频谱特征提取方法[J]. 华中科技大学学报(自然科学版), 2021, 49(1):50-54.WEI J, GU X Q, NING F L. Hilbert time-frequency spectrum feature extraction method[J]. Journal of Huazhong University of Science and Technology (Natural Science Edition), 2021, 49(1):50-54. (in Chinese)
[13] 江国进, 曹亮. 基于HHT方法的水下爆炸声信号时频特性分析[J]. 舰船电子工程, 2020, 40(9):153-156.JANG G J, CAO L. Time-frequency characteristics of underwater explosion signal based on Hilbert-huang transform[J]. Ship Electronic Engineering, 2020, 40(9):153-156. (in Chinese)
[14] 杨大春. 基于集合经验模态分解的滚动轴承振动信号希尔伯特谱分析方法[J]. 机械制造, 2019, 57(8):29-32.YANG D C. Hilbert spectrum analysis method of rolling bearing vibration signal based on ensemble empirical mode decomposition[J]. Mechanical Manufacturing, 2019, 57(8):29-32. (in Chinese)
[15] 胡寅, 梅月兰. 基于HHT的滚动轴承故障分析实验设计[J]. 电子测量技术, 2021, 44(3):60-64.HU Y, MEI Y L. Experimental design of rolling bearing fault analysis based on HHT[J]. Electronic Measurement Technology, 2021, 44(3):60-64. (in Chinese)
[16] 张景科, 李凯, 张瀚, 等. 基于HHT信号分析的GFRP锚杆锚固质量无损检测方法研究[J]. 岩石力学与工程学报, 2021, 40(6):1-10.ZHANG J K, LI K, ZHANG H, et al. Research on Non-Destructive Testing method of GFRP bolt anchorage based on HHT signal analysis[J]. Chinese Journal of Rock Mechanics and Engineering, 2021, 40(6):1-10. (in Chinese)
[17] 李舜酩, 李香莲. 振动信号的现代分析技术与应用[M]. 北京:国防工业出版社, 2008.LI S M, LI X L. Modern analysis technology and application of vibration signal[M]. Beijing:National Defense Industry Press, 2008. (in Chinese)
[18] 朱可恒, 宋希庚, 薛冬新. 希尔伯特振动分解在滚动轴承故障诊断中应用[J]. 振动与冲击, 2014, 33(14):160-164.ZHU K H, SONG X G, XUE D X. Roller bearing fault diagnosis using Hilbert vibration decomposition[J]. Journal of Vibration and Shock, 2014, 33(14):160-164. (in Chinese)
[19] 符娆, 张群岩, 赵述元. 航空发动机试飞中转静子碰摩故障信号处理的希尔伯特-黄变换(HHT)方法[J]. 振动与噪声控制, 2012, 32(2):123-126.FU R, ZHANG Q Y, ZHAO S Y. Signal processing of rubbing trouble between rotor and stator of aeroengines in flight-test using Hilbert-Huang transform[J]. Vibration and Noise Control, 2012, 32(2):123-126. (in Chinese)
[20] 郝大海. 基于Hilbert-Huang变换的发动机振动信号特征提取[J]. 兵工自动化, 2007, 26(12):81-83.HAO D H. Feature extraction from vibration signals of engine based on Hilbert-Huang transformation[J]. Ordnance Automation, 2007, 26(12):81-83. (in Chinese)
[21] 范开国, 梁建军, 韦道明, 等. EMD端点延拓新方法SAR遥感图像实例应用[J]. 地球物理学进展, 2020, 11(9):1-8.FAN K G, IANG J J, WEI D M, et al.Application of a new boundary process method for Empirical Mode Decomposition in SAR image[J]. Progress in Geophysics, 2020, 11(9):1-8. (in Chinese)
[22] 李艳军. 新一代大推力液体火箭发动机故障检测与诊断关键技术研究[D]. 长沙:国防科学技术大学, 2014.LI Y J. Study on key techniques of fault detection and diagnosis for new generation large-scale liquid-propellant rocket engines[D]. Changsha:National University of Defense Technology, 2014. (in Chinese)
[23] 谢光军. 液体火箭发动机涡轮泵实时故障检测技术及系统研究[D]. 长沙:国防科学技术大学, 2006.XIE G J. Research on real-time fault detection technology and system for liquid rocket engine turbopump[D]. Changsha:National University of Defense Technology, 2006. (in Chinese)
[24] 王慧, 王桁, 王家兴, 等. 液体火箭发动机涡轮泵转子系统干摩擦故障特征分析[J]. 导弹与航天运载技术, 2001, 253(5):10-14.WANG H, WANG H, WANG J X, et al. Characteristic analysis on fault induced by rubbing of LRE turbopump rotor system[J].Missiles and Space Vehicles, 2001, 253(5):10-14. (in Chinese)
