Research ArticleOpen AccessGoogle Scholar indexed
An Improved FMECA Method for Wind Turbines Health Management
Department of Electrical Engineering, Tsinghua University, Haidian District, Beijing, China
China Electric Power Research Institute, Haidian District, Beijing, China
China Electric Power Research Institute, Haidian District, Beijing, China
Department of Electrical Engineering, Tsinghua University, Haidian District, Beijing, China
China Electric Power Research Institute, Haidian District, Beijing, China
China Electric Power Research Institute, Haidian District, Beijing, China
China Electric Power Research Institute, Haidian District, Beijing, China
- 1 Department of Electrical Engineering, Tsinghua University, Haidian District, Beijing, China
- 2 China Electric Power Research Institute, Haidian District, Beijing, China
- 3 China Electric Power Research Institute, Haidian District, Beijing, China
- 4 Department of Electrical Engineering, Tsinghua University, Haidian District, Beijing, China
- 5 China Electric Power Research Institute, Haidian District, Beijing, China
- 6 China Electric Power Research Institute, Haidian District, Beijing, China
- 7 China Electric Power Research Institute, Haidian District, Beijing, China
Energy and Power Engineering·Volume 09 (2017)·Pages 36–45·Published 6 April 2017·DOI10.4236/epe.2017.94B005
Copy link · social · email
Abstract
In this paper, an improved Failure Modes, Effects and Criticality Analysis (FMECA) method for wind turbine reliability investigation is proposed. According to previous work, the main deficiencies of Risk Priority Number (RPN) based criticality analysis are presented. For the qualitative analysis, failure modes and main causes of a gearbox are analyzed on subcomponents level with available data. After that, inspection approaches are provided and mitigation methods are recommended from both design and maintenance stage. For criticality analysis, another index, Probable Profit Loss (PPL) is created and all the parameters are carefully defined to overcome the limits of conventional RNP method. Moreover, to make PPL applicable for maintenance tasks, different maintenance types are considered for profit loss calculation. The criticality rank shows the efficiency of the index and can be used as reference for making maintenance schedules.
KeywordsWind TurbineCriticality AnalysisMaintenanceEconomic Index
- Sawyer, S. and Rave, K. (2015) Global Wind Report—Annual Market Update 2015. Global Wind Energy Council.
- Sinha, Y. and Steel, J.A. (2015) A Progressive Study into Offshore Wind Farm Maintenance Optimisation Using Risk Based Failure Analysis. Renewable and Sustainable Energy Reviews, 42, 735-742.https://doi.org/10.1016/j.rser.2014.10.087
- Carroll, J., McDonald, A. and McMillan, D. (2015) Failure Rate, Repair Time and Unscheduled O&M Cost Analysis of Offshore Wind Turbines. Wind Energy.
- Kaidis, C., Uzunoglu, B. and Amoiralis, F. (2015) Wind Turbine Reliability Estimation for Different Assemblies and Failure Severity Categories. IET Renewable Power Generation, 9, 892-899. https://doi.org/10.1049/iet-rpg.2015.0020
- Kim, D.H. and Lee, S.G. (2015) Reliability Analysis of Offshore Wind Turbine Support Structures under Extreme Ocean Environmental Loads. Renewable Energy, 79, 161-166. https://doi.org/10.1016/j.renene.2014.11.052
- Arabian-Hoseynabadi, H., Oraee, H. and Tavner, P. (2010) Failure Modes and Effects Analysis (Fmea) for Wind Turbines. International Journal of Electrical Power & Energy Systems, 32, 817-824. https://doi.org/10.1016/j.ijepes.2010.01.019
- Khorshidi, H.A., Gunawan, I. and Ibrahim, M.Y. (2016) Data-Driven System Reliability and Failure Behavior Modeling Using FMECA. IEEE Transactions on Industrial Informatics, 12, 1253-1260. https://doi.org/10.1109/TII.2015.2431224
- Tavner, P., Higgins, A., Arabian, H., Long, H. and Feng, Y. (2010) Using an FMEA Method to Compare Prospective Wind Turbine Design Reliabilities. European Wind Energy Conference and Exhibition 2010, EWEC 2010, Sheffield.
- Shafiee, M. and Dinmohammadi, F. (2014) An FMEA-based Risk Assessment Approach for Wind Turbine Systems: A Comparative Study of Onshore and Offshore. Energies, 7, 619-642.https://doi.org/10.3390/en7020619
- Liu, Z., Sun, L., Guo, Y. and Kang, J. (2015) Fuzzy FMEA of Floating Wind Turbine Based on Related Weights and TOPSIS Theory. 2015 Fifth International Conference on Instrumentation and Measurement, Computer, Communication and Control (IMCCC). https://doi.org/10.1109/IMCCC.2015.241
- Kahrobaee, S. and Asgarpoor, S. (2011) Risk-based Failure Mode and Effect Analysis for Wind Turbines (RB-FMEA). North American Power Symposium (NAPS). https://doi.org/10.1109/naps.2011.6025116
- Dinmohammadi, F. and Shafiee, M. (2013) A Fuzzy-FMEA Risk Assessment Approach for Offshore Wind Turbines. International Journal of Prognostics and Health Management, 4, 59-68.