张新燕,何山,张晓波,等.风力发电机组主要部件故障诊断研究[J].新疆大学学报,2009,26(2):140-144. Zhang Xinyan,He Shan,Zhang Xiaobo,et al.Study of fault diagnosis wind turbine generator system[J].Journal of Xinjiang University,2009,26(2):140-144(in Chinese).
[2]
纪国宜,赵淳生.振动测试和分析技术综述[J].机械制造与自动化,2010,39(3):1-5. Ji Guoyi,Zhao Chunsheng.Summary of vibration testing and analysis[J].Machine Building and Automation,2010,39(3):1-5(in Chinese).
[3]
Muammer O,Fanzhong M,Daniel J R.Challenges in testing and monitoring the in-operation vibration characteristics of wind turbines[J].Mechanical Systems and Signal Processing,2013,41(1):649-666.
[4]
Liu Wenyi,Wang Zhenfeng,Han Jiguang,et al.Wind turbine fault diagnosis method based on diagonal spectrum and clustering binary tree SVM[J].Renewable Energy,2013,50(2):1-6.
[5]
Park J H,Park H Y,Jeong S Y,et al.Linear vibration analysis of rotating wind-turbine blade[J].Current Applied Physics,2010,10(2):S332-S334.
[6]
严可国,柳亦兵,徐鸿,等.基于双谱分析的大型汽轮机振动故障特性提取[J].中国电机工程学报,2010,30(2):98-103. Yan Keguo,Liu Yibing,Xu Hong,et al.Fault feature extraction of large steam turbine based on bi-spectra analysis of vibration signal[J].Proceedings of the CSEE,2010,30(2):98-103(in Chinese).
[7]
蒋东翔,刁锦辉,赵钢,等.基于时频等高图的汽轮发电机组振动故障诊断方法研究[J].中国电机工程学报,2005,25(6):149-154. Jiang Dongxiang,Diao Jinhui,Zhao Gang,et al.Study on methods of vibration fault diagnosis based on time- frequency contour map for turbine generator Unit [J].Proceedings of the CSEE,2005,25(6):149-154(in Chinese).
[8]
Tang Baoping,Song Tao,Li Feng,et al.Fault diagnosis for a wind turbine transmission system based on manifold learning and Shannon wavelet support vector machine [J].Renewable Energy,2014,62(1):1-9.
[9]
雷亚国.基于改进Hilbert-Huang变换的机械故障诊断[J].机械工程学报,2011,47(5):71-77. Lei Yaguo.Machinery Fault Diagnosis Based on Improved Hilbert-Huang Transform.Journal of mechanical engineering,2011,47(5):71-77(in Chinese).
[10]
严平,李书明,马安.基于最优小波包的水轮发电机组振动信号特征提取方法[J].电力自动化设备,2008,28(2):71-73. Yan Ping,Li Shuming,Ma An.Feature extraction of water turbine vibration signal based on optimal wavelet packet [J].Electric Power Automation Equipment,2008,28(2):71-73(in Chinese).
[11]
Lin C H,Wang C H.Adaptive wavelet networks for power quality detection and discrimination in a power system[J].IEEE Trans. Power Delivery,2006,21(3):1106-1113.
[12]
Wu T Y,Chen J C,Wang C C.Characterization of gear faults in variable rotating speed using Hilbert-Huang transform and instantaneous dimensionless frequency normalization[J].Mechanical Systems and Signal Processing,2012,30(1):103-122.
[13]
Peng Z K,Tsea P W,Chub F L.A Comparison study of improved Hilbert-Huang transform and wavelet transform:application to fault diagnosis for rolling bearing[J].Mechanical Systems and Signal Processing, 2005,19(5):974-988.
[14]
Qin Y,Qin S R,Mao Y F.Research on iterated Hilbert transform and its application in mechanical fault diagnosis [J].Mechanical Systems and Signal Processing,2008,22(8):1967-1980.