Wind Turbine Gearbox Failure Prediction Based on Time Series Analysis and Statistical Process Control

Abstract:

The Time Series method and Statistical Process Control strategy is applied to predict failures of wind turbine gearboxes. First, based on the real-time temperature data of gearboxes measured by temperature sensors, the temperature prediction model under normal operating conditions is established by ARIMA model. The analysis of the predicted values and the actual values of gearbox temperature is done, and proves that its residuals are normally distributed; then combined with statistical process control (SPC) methods, the big number of temperature data is used to calculate the standard deviation(σ) of residuals, and the gearbox failure threshold will be identified; Finally, the temperature data are analyzed both in normal operating condition and the failure condition to determine the operation status of the gearbox, statistical analysis and residual charts are carried out for gearbox failure prediction, verifying the feasibility and effectiveness of the proposed method.

• Periodical: Advanced Materials Research (Volumes 347-353)
• Pages: 2236-2240
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.347-353.2236
• Online since: October 2011
• Authors: Fei Fei Wang, Xiao Qing Xiao, Hong Shan Zhao
• Keywords: Arima, Failure Prediction, Gearbox, SPC

References

[1] Jing-Jing Wang. Wu Xiaoling. Mechanical transmission 2008,32 (6): 32-33(in Chinese)

[2] Ji-quan Zhang. Guangdong Electric Power .201023 (9) :1-5(in Chinese)

[3] Q.Huang,D.Jiang,L.Hong,etc. Lecture Notes in Computer Science,vol.5264LNCS,n PART2,Advances in Neural Networks:313-320.

[4] Zhou Fucheng. Fault diagnosis method of gear of wind turbine gearbox based on undedicated wavelet transformation[C].Computer Design and Applications(ICCDA),2010 International Conference on,vol4,no,pp.V4-606-V4-609,25-27June,2010.

DOI: 10.1109/iccda.2010.5540743

[5] Development of prognostic/health management (PHM) technologies for wind turbines: final report. Prepared by Dr. Neil Baines and Dr. Tim Way,2006.

[6] Molinas, M. , AreSuulmJ.,Undeland,T. Torque transient alleviation in fixed speed wind generators by Indirect Torque Control with STATCOM[C].Power Electronics and Motion Control Conference,2008.EPE-PEMC 2008 ,13th ,vol.,no.,pp.2318-2324,1-3 Sept. 2008.

DOI: 10.1109/epepemc.2008.4635609

[7] D.J. Lekou, F. Mouzakis, A. Anastasopoulos, etc. Emerging techniques for health monitoring of wind tuebine gearboxes and bearings. EWEC 2009，Scientific Track Operation and Maintenance , Marseille, France, March 16-19,2009.

[8] Xinyan Zhang, Shan He, Xiao-bo Zhang, etc. Xinjiang University (Natural Science), 2009,26 (2) :140-143. (in Chinese)

[9] Jianhong Huang, Zhiwei Chen, Fuge Yan. Machinery, 2007 (11) :1-3. (in Chinese)

[10] Liming Wang, etc. The application of the Time Series analysis [M]. Shanghai: Fudan University Press ,2008:92-107. (in Chinese)

[11] new chapter Jia, Li Jingyuan Statistical Process Control and its evaluation [M]. Beijing: Electronic Industry Press, 2004. (in Chinese)