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Some Prognostic and Diagnostic Methods for Determining Wind Turbine Failures - A Review

Year 2017, Volume: 10 Issue: 2, 168 - 183, 22.12.2017

Cem Emeksiz Zafer Doğan Mehmet Akar Mahmut Hekim

Abstract



Yenilenebilir enerji
kaynakları arasında yer alan rüzgar enerjisi son yıllarda dünya tarafından
desteklenmektedir. Özellikle yüksek enerji üretim kapasitesinden dolayı rüzgar
çiftliklerinin sayısı gün geçtikçe artmaktadır. Fakat rüzgar türbinlerinde
bakım maliyetleri; üretim maliyeti, lojistik, tesisat, faz tutarlılığı ve
kontrol vb. nedenlerden dolayı yüksektir.
Prognostikler, uygun maliyetli bir bakım stratejisi ile yüksek kaliteli
tasarımı geliştirmek için uygulanmaktadır. Bu çalışmada rüzgar türbinlerinde
meydana gelen temel hatalar gözden geçirilmiş ve prognostik yaklaşımlar
tartışılmıştır. Bu inceleme bıçak arızaları, jeneratör arızaları, dişli
kutuları ve yaw sistemi arızaları üzerine odaklanmıştır. Ayrıca, bu çalışmada
teknik prognezin mühendislik alanında hızla ilerleyen bir alan olduğu
görülmüştür.




Keywords

Rüzgar türbinleri Rüzgar türbini arızaları

References

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Some Prognostic and Diagnostic Methods for Determining Wind Turbine Failures - A Review

Year 2017, Volume: 10 Issue: 2, 168 - 183, 22.12.2017

Cem Emeksiz Zafer Doğan Mehmet Akar Mahmut Hekim

Abstract



Wind power situated in renewable energy resources has been supported by
the world in recent years. Especially Number of wind farm is increasing because
of the high energy production capacity day by day. However, maintenance costs
in wind turbines are high because of the cost of production, logistics, installation,
phase consistence and control etc. Prognostics are applied to develop
high-quality design with a cost-effective maintenance strategy. In this study
the basic faults of occurring in wind turbines were reviewed and prognostic
approaches were discussed. This review focused on blade failures, generator
failures, gearboxes and yaw system failures.  Moreover, in this study were seen that
technical prognez is a rapidly advancing field in engineering.




Keywords

Wind turbines Failures of wind turbine Prognostic approaches

References

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  • Graham, L., Susumu, T., Takanori, U. 2013. Application of CFD for Turbulence Related Operational Risks Assessment of Wind Turbines in Complex Terrain. EWEA 2013; Conference Proceedings, Feb.
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  • Hall John, F., Dongmei, C. 2012. Performance of a 100kW wind türbine with a Variable Ratio Gearbox. Renewable Energy, Vol. 44, pp.261–6, Aug.
  • Hameed, Z., Hong, Y.S., Cho, Y.M., Ahn, S.H., Song, C.K. 2009. Condition monitoring and fault detection of wind turbines and related algorithms: a review. Renewable and Sustainable Energy Reviews; Vol. 13, no.1, pp. 1-39, Jan.
  • Harman, J. 2014. Wind Turbine Optimization. presented at Maintenance and Repair Summit Toronto, 8-9, Canada, Dec.
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  • Huang, Q., Jiang, D., Hong, L., Ding, Y. 2008. Application of wavelet neural networks on vibration fault diagnosis for wind turbine gearbox. Lecture Notes in Computer Science, Vol. 5264 LNCS, n PART 2, Advances in Neural Networks, pp. 313-320.
  • Hyers, R.W., McGowan, J.G., Sullivan, K.L., Manwell, J.F., Syrett, B.C. 2006. Condition monitoring and prognosis of utility scale wind turbines. Energy Materials, Vol. 1, no. 3, pp. 187-203, Sep.
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  • Igarashi, T., Hamada, H. 1982. Studies on the vibration and sound of defective roller bearings (First report: vibration of ball bearing with one defect). Bull JSME, Vol. 25, no. 204, pp. 994–1001, Jun.
  • Isermann, R. 1984. Process Fault Detection Based on Modeling and Estimation Methods A Survey. Automatica, Vol. 20, no. 4, pp. 387-404, Jul.
  • I. S. O. Condition monitoring and diagnostics of machines ISO. 13374-1. Standard. 2003.
  • Jardine, A.K., Lin, D., Banjevic, D. A. 2006. Review on machinery diagnostics and prognostics implementing condition-based maintenance. Mechanical Systems and Signal Processing, Vol. 20, no. 7, pp. 1483 – 1510, Oct. 2006.
  • Keller, A., Perera, U., Kamath, A. 1982. Reliability analysis of cnc machine tools. Reliability Engineering, Vol. 3, no. 6, pp. 449 – 473, Nov.
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There are 78 citations in total.

Details

Subjects Engineering
Journal Section Makaleler
Authors

Cem Emeksiz

Zafer Doğan

Mehmet Akar

Mahmut Hekim

Publication Date December 22, 2017
Published in Issue Year 2017 Volume: 10 Issue: 2

Cite

APA Emeksiz, C., Doğan, Z., Akar, M., Hekim, M. (2017). Some Prognostic and Diagnostic Methods for Determining Wind Turbine Failures - A Review. Erzincan University Journal of Science and Technology, 10(2), 168-183. https://doi.org/10.18185/erzifbed.310414