[1] 陈雪峰,李继猛. 风力发电机状态监测和故障诊断技术的研究与进展[J]. 机械工程学报,2011,47(9):45-52. CHEN Xuefeng, LI Jimeng. Research and application of condition monitoring and fault diagnosis technology in wind turbines [J]. Journal of Mechanical Engineering, 2011, 47(9): 45-52. [2] SUtherland H J. On the fatigue analysis of wind turbines[M]. Office of Scientific and Technical Information Technical Reports, 1999. [3] 于德介,程军圣. Hilbert-Huang变换在齿轮箱故障诊断中的应用[J]. 机械工程学报,2005,41(6):102-107. YU Dejie, CHENG Junsheng. Application of Hilbert-Huang transform method to gear fault diagnosis [J]. Journal of Mechanical Engineering, 2005, 41(6): 102-107. [4] 张志刚,石晓辉,施全,等. 基于改进EMD和谱峭度法滚动轴承故障特征提取[J]. 振动、测试与诊断,2013,33(3):478-482. ZHANG Zhigang, SHI Xiaohui, SHI Quan. et al . Fault featuer extraction of rolling element based on improved EMD and spectral kurtosis [J]. Journal of Vibration Measurement Diagnosis, 2013, 33(3): 478-482. [5] BARSZCZ T, RANDALL R B. Application of spectral kurtosis for detection of a tooth crack in the planetary gear of a wind turbine[J]. Mechanical Systems and Signal Processing, 2009, 23(4): 1352-1365. [6] FENG Z, LIANG MING. Fault diagnosis of wind turbine planetary gearbox under nonstationary conditions via adaptive optimal kernel timeefrequency analysis[J]. Renewable Energy,2014, 66(3): 468-477. [7] 苏文胜,王奉涛,张志新,等. EMD降噪和谱峭度法在滚动轴承早期故障诊断中的应用[J]. 振动与冲击,2010,29(3):18-21,201. SUN Wensheng, WANG Fengtao, ZHANG Zhixin, et al . Application of EMD denoising and spectral kurtosis in early fault diagnosis of rolling element bearings [J]. Journal of Vibration and Shock, 2010, 29(3): 18-21, 201. [8] TANG Baoping, LIU Wenyi, SONG Tao. Wind turbine fault diagnosis based on Morlet wavelet transformation and wigner-ville distribution [J]. Renewable Energy, 2010, 35(12): 2862-2866. [9] 安学利,蒋东翔,刘超,等. 基于固有时间尺度分解的风电机组轴承故障特征提取[J]. 电力系统自动化,2012,36(5):41-44,102. AN Xueli, JIANG Dongxiang, LIU Chao, et al . Bearing fault featuer extraction of wind turbine based on intrinsic time-scale decomposition[J]. Automation of Electric Power Systems, 2012, 36(5): 41-44, 102. [10] 张路朋,赵洪山. 基于时间延迟的风机齿轮箱状态优化维修[J]. 中国电力,2014,47(11):108-111,133. ZHANG Lupeng, ZHAO Hongshan. Optimized condition based maintenance for gearboxof wind turbine based on time-delay [J]. Electric Power, 2014, 47(11): 108-111, 133. [11] 辛卫东,马志勇,滕伟,等. 振动监测技术在风电机组齿轮箱故障诊断中的应用[J]. 中国电力,2012,45(5):77-80. XIN Weidong, MA Zhiyong, TENG Wei, et al . Application of vibration monitoring technology on fault diagnosis of gearbox in wind power unit [J]. Electric Power, 2012, 45(5): 77-80. [12] 胡振邦,许睦旬. 基于小波降噪和短时傅里叶变换的主轴突加q不平衡非平稳信号分析[J]. 振动与冲击,2014,33(5):20-23,36. HU Zhenbang, XU Muxun. Analysis of non-stationary signal of a sudden unbalancedspindle based on wavelet noise reduction and short-time Fourier transformation[J]. Journal of Vibration and Shock, 2014, 33(5): 20-23, 36. [13] 褚福磊,彭志科. 机械故障诊断中的现代信号处理方法[M]. 北京:科学出版社,2009. |