Username   Password       Forgot your password?  Forgot your username? 


Fault Analysis and Adaptive Design of Wind Turbine Lubrication System

Volume 15, Number 2, February 2019, pp. 431-440
DOI: 10.23940/ijpe.19.02.p8.353361

Haitang Cen, Tianfang Zhang, Wenliang Tian, and Yongdong Zheng

Machinery Institute, Inner Mongolia University of Technology, Hohhot, 010000, China

(Submitted on November 11, 2018; Revised on December 15, 2018; Accepted on January 6, 2019)


Wind turbines work in harsh environments and have changeable loads. The reliability and service life of the wind turbine gearbox has become an important factor for maintaining its safe, stable, and reliable economic operation. The production practice shows that the failure of the wind turbine gearbox is closely related to the structure and performance of the lubrication system. In this paper, the fault tree of the wind turbine gearbox lubrication system is established. It is pointed out that the temperature, state, and lubrication intensity of the lubricating oil are not well adapted to the working condition of the gear box, which leads to frequent gearbox breakdowns until its failure. The heat dissipation power consumption of the lubrication system is determined by calculating the heat balance of the lubrication system. By introducing the AI control method, the adaptive lubrication system framework of the wind turbine gear box is constructed from the aspects of oil temperature, oil pressure, oil level, and oil quality, which can automatically adjust the lubrication intensity according to the working condition of the wind turbine, so as to improve the lubrication effect of the wind turbine gear box. The research work in this paper plays an important role in optimizing the performance of the lubrication system, reducing the failure of the lubrication system, and reducing the operation and maintenance cost of wind turbines.


References: 15

        1. M. K. Das, S. C. Panja, and S. Chowdhury, “Expert-based FMEA of Wind Turbine System,” in Proceedings of 2011 IEEE International Conference on Industrial Engineering and Engineering Management (1EEM), 2011
        2. H. A. Hoseynabadi, H. Oraee, and P. J. Tavner, “Failure Modes and Effects Analysis (FMEA) for Wind Turbines,” International Journal of Electrical Power and Energy Systems, Vol. 32, No. 7, pp. 817-824, 2010
        3. Y. N. Qiu, Y. H. Feng, P. Tavner, P. Richardson, and G. Erdos, “Wind Turbine SCADA Alarm Analysis for Improving Reliability,” Wind Energy, Vol. 15, No. 8, pp. 951-966, 2011
        4. C. S. Gray and S. J. Watson, “Physics of Failure Approach to Wind Turbine Condition Based Maintenance,” Wind Energy, Vol. 13, No. 5, pp. 395-405, 2010
        5. P. M. T. Marques, C. M. C. G. Fernandes, R. C. Martins, and J. H. O, “Seabra. Power Losses at Low Speed in a Gearbox Lubricated with Wind Turbine Gear Oils with Special Focus on Churning Losses,” Tribology International, Vol. 62, pp. 186-197, 2013
        6. D. E. P. Gonalves, C. M. C. G. Fernandes, R. C. Martins, and J. H. O. Seabra, “Torque Loss in a Gearbox Lubricated with Wind Turbine Gear Oils,” lubricate Science, Vol. 25, No. 4, pp. 297-311, 2013
        7. S. Kahrobaee and S. Asgarpoor, “Risk-based Failure Mode and Effect Analysis for Wind Turbine,” in Proceedings of 2011 North American Power Symposium, 2011
        8. B. Huang and J. Zhang, “Integrated Analysis of System Reliability and Safety by Man-Machine-Environment System Engineering,” Springer Berlin Heidelberg, 2014
        9. J. H. Purba, J. Lu, G. Q. Zhang, and W. Pedrycz, “A Fuzzy Reliability Assessment of Basic Events of Fault Trees Through Qualitative Data Processing,” Fuzzy Sets and Systems, Vol. 243, pp. 50-69, 2014
        10. R. Prugh, “Engineering Systems Reliability, Safety, and Maintenance – An Integrated Approach”, By B. S. Dhillon, Mechanical Engineering Professor at the University of Ottawa, Canada, Process Safety Progress, Vol. 36, No. 3, 2017
        11. X. J. Yi, J. Shi, B. S. Dhillon, P. Hou, and H. P. Dong, “A New Reliability Analysis Method for Repairable Systems with Closed-Loop Feedback Links,” Quality and Reliability Engineering International, Vol. 34, No. 3, pp. 298-332, 2018
        12. B. Keshtegar and S. Chakraborty, “A Hybrid Self-Adaptive Conjugate First Order Reliability Method for Robust Structural Reliability Analysis,” Applied Mathematical Modelling, Vol. 53, pp. 319-332, 2018
        13. G. Ezzati, M. Mammadov, and S. Kulkarni, “A New Reliability Analysis Method based on the Conjugate Gradient Direction,” Structural and Multidisciplinary Optimization, Vol. 51, No. 1, pp. 89-98, 2015
        14. Y. Ji, “Fuzzy Reliability Analysis of Nonlinear Structural System based on Stochastic Response Surface Method,” Advanced Materials Research, 2014


        Please note : You will need Adobe Acrobat viewer to view the full articles.Get Free Adobe Reader

        This site uses encryption for transmitting your passwords.