Non-dimensional Parameters Trend Analysis Method in the Diagnosis of Wind Turbine Gearbox Failure Early Warning

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Journal of Vibration and Shock ›› 2017, Vol. 36 ›› Issue (19) : 213-220.

GU Yu-jiong1,JIA Zi-wen1,YIN Chuan-tao1,REN Yu-ting2

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Abstract

Wind turbine’s feature of early failure is hard to extract on account of its fluctuant working conditions, an non-dimensional parameters trend analysis method is utilized to deal with turbine gearbox early failure diagnosis. Equal time interval time-domain signals can be transformed into uniform angle domain signals by order resampling, and the dimentionless parameters’ tendencies are used to sense the level of turbine gearbox’s early faults. A model of early fault diagnosis, which is used for turbine gearbox, is created based on parameters trend analysis, the lab data and actual failure data are analyzed by it. The results show that the method is qualified in turbine gearbox early failure diagnosis analysis, and the moment of failure can be estimated, which is achieve early warning’s aim.

Key words

Wind turbine gearbox / Order resampling / Dimentionless parameters / Trend analysis / Early fault diagnosis

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GU Yu-jiong1,JIA Zi-wen1,YIN Chuan-tao1,REN Yu-ting2. Non-dimensional Parameters Trend Analysis Method in the Diagnosis of Wind Turbine Gearbox Failure Early Warning[J]. Journal of Vibration and Shock, 2017, 36(19): 213-220

References

[1] 帅军庆.电力企业资产全寿命周期管理理论、方法及应用[M].北京：中国电力出版社，2010:95-97.
SHUAI Jun-qing. The theory, method and application of full life period management of power enterprise property[M]. Peking: China Electric Power Press,2010:95-97.
[2] 罗毅，甄立敬.基于小波包与倒频谱分析的风电机组齿轮箱齿轮裂纹诊断方法[J].振动与冲击，2015,34(3):210-214.
LUO Yi, ZHEN Li-jing. Diagnosis method of turbine gearbox gearcrack based on wavelet packet and cepstrum analysis[J]. Journal of Vibration and Shock, 2015,34(3):210-214.
[3] 罗荣，田福庆，冯昌林，等.冗余小波包改进及其在齿轮箱故障诊断中应用[J].机械工程学报，2014,50(15):82-88.
LUO Rong, TIAN Fuqing, FENG Changlin, et al. Improved redundant wavelet packet decomposition and its application in gearbox fault diagnosis[J]. Journal of mechanical engineering, 2014,50(15):82-88.
[4] 林近山，陈前.基于多重分析去趋势波动分析的齿轮箱故障特征提取方法[J].振动与冲击，2013,32(2):97-101.
LIN Jin-shan, CHEN Qian. Fault feature extraction of gearboxes based on multifractal detrended fluctuation analysis[J]. Journal of Vibration and Shock, 2013,32(2):97-101.
[5] 陈法法，汤宝平，苏祖强.基于局部切空间排列与MSVM的齿轮箱故障诊断[J].振动与冲击，2013,32(5):38-47.
CHEN Fa-fa, TANG Bao-ping, SU Zu-qiang. Gearbox fault diagnosis based on local target space alignment and multi-kernel support vector machine[J]. Journal of Vibration and Shock, 2013,32(5):38-47.
[6] Wilkinson M, Darnell B, van Delft T, etc. Comparison of methods for wind turbine condition monitoring with SCADA data[J]. IET Renewable Power Generation. 2014,8(4):390-397.
[7] 曹斌.风电机组振动监测与故障诊断系统研究[D].广东工业大学，2014.
CAO Bin. Research on vibration monitoring and fault diagnosis system of wind turbines[D].Guangdong University of Technology, 2014.
[8] 郭建英，孙永全，王铭义，等.基于计算机仿真的风电机组系统可靠性综合[J].机械工程学报，2012,48(2):2-8.
GUO Jian-ying, SUN Yong-quan, WANG Mingyi, et al. System reliability synthesis of wind turbine baesd on computer simulation[J]. Journal of mechanical engineering, 2012,48(2):2-8.
[9] 董肖峰，练继建，杨敏，等.谐波干扰下海上风机结构工作模态识别[J].振动与冲击，2015,34(10):152-156.
DONG Xiao-feng, CHEN Ji-jian, YANG Min. Operation modal identification of an offshore wind turbine structure under harmonic interference[J]. Journal of Vibration and Shock, 2015,34(10):152-156.
[10] 柏林，彭畅，刘小峰.改进的风力发电机组噪声音调评估方法[J].振动与冲击，2012,31,(14):157-163.
BO Lin, PENG Chang, LIU Xiao-feng. Improved method for tonality evaluation of wind turbine noises[J]. Journal of Vibration and Shock, 2012,31,(14):157-163.
[11] 郭瑜，秦树人.旋转机械非稳定信号的伪速跟踪阶比分析[J].振动与冲击，2004，23(1):61-69.
GUO Yu, QIN Shu-ren. Pseudo_speed tracking order analysis for non_stationary vibration signals of rotating machinery[J]. Journal of Vibration and Shock, 2004,23(1):61-69.
[12] 左云波，王西彬，徐小力.循环平稳度在发电机组故障趋势分析中的应用[J].振动、测试与诊断，2009,29(3):292-294.
ZUO Yun-bo, WANG Xi-bin, XU XIAO-li. Application of degree of cyclostation to trand analysis of fault in generator sets[J]. Journal of Vibration, Measurement & Diagnosis, 2009,29(3):292-294.
[13] XU X L, ZUO Y B. Fault trend analysis of rotating machine based on degree of cyclostation[C]//Proceedings ICACC 2010, Shenyang, 2010,5:136-138.
[14] Amanna A, Price M, Thamvichai R J. Grey systems theory applications to wireless communications[J]. Analog Integrated Circuits and Signal Processing, 2011,69(2-3):259-269.
[15] 郝祖龙，刘吉臻，常太华，等.基于小波变换的热工信号多尺度相关性分析[J].中国电机工程学报，2010,30(14):109-114.
HAO Zu-long, LIU Ji-zhen, CHANG Tai-hua, et al. Analysis on multi-scale correlation of thermal signal based on wavelet transform[J]. Proceedings of the CSEE, 2010,30(14):109-114.
[16] 张玉良，朱祖超，崔宝玲，等.离心泵起动过程中的外特性实验研究[J].机械工程学报，2013,49(16):147-152.
ZHANG Yu-liang, ZHU Zu-chao, CUI Bao-ling, et al. Experimental investigation of external performance of prototype centrifugal pump during startup period[J]. Journal of mechanical engineering, 2013,49(16):147-152.
[17] 郭厚明，行志刚，荆双喜.无量纲参数在矿用低速重载齿轮故障诊断中的应用[J].煤炭科学技术，2006,34(8):28-31.
GUO Hou-ming, XING Zhi-gang, JING Shuang-xi. Dimensionless parameters applied to fault diagnosis of mine low speed heavy loaded gear[J].Cola Sience and Technology, 2006,34(8):28-31.
[18] 左云波，徐小力，王西彬.综合分析的发电机组故障趋势曲线[J].微计算机信息，2008,24(16):163-164.
ZUO Yun-bo, XU xiao-li, WANG Xi-bin. Trend curve if fault in generator sets based on synthetic analysis[J]. Microcomputer Information, 2008,24(16):163-164.
[19] 沈路，周小军，张文斌，等.基于形态滤波与灰色关联度的滚动轴承故障诊断[J].振动与冲击，2009,28(11):17-20.
SHEN Lu, ZHOU Xiao-jun, ZHANG Wen-bin, et al. Fault diagnosis of rolling element bearing based on morphological filter and grey incidence[J]. Journal of Vibration and Shock, 2009,28(11):17-20.
[20] 王录雁，王强，张梅军，等.基于EMD的滚动轴承故障灰色诊断方法[J].振动与冲击，2014,33(3):197-202.
WANG Lu-yan, WANG Qiang, ZHANG Mei-jun, et al. A grey fault diagnosis method for rolling bearings based on EMD[J]. Journal of Vibration and Shock, 2014,33(3):197-202
[21] 张文斌，郭德维，普亚松，等.谐波窗分解样本熵与灰色关联度在转子故障识别中的应用[J].中国电机工程学报，2013,33(21):132-137.
ZHANG WEN-bin, GUO De-wei, PU Ya-song,et al. Harmonic window decomposition sample entropy and grey relation degree in rotor fault recognition[J]. Proceedings of the CSEE, 2013,33(21):132-137.
[22] Delcea C, Bradea I, Scarlat E. A Computational grey based model for companies risk forecasting[J]. The Journal of Grey System, 2013,25(3):70-83.