Ranking Subassemblies of Wind Energy Conversion Systems Concerning Their Impact on the Overall Reliability

In this paper, an extensive reliability analysis of wind energy conversion systems (WECS) is presented. Elaborate the analysis is presented starting from the subassembly level to the subsystem level, then the system or the overall WECS. The fault tree method with a Weibull probability distribution f...

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Bibliographic Details
Published in:IEEE access 2021, Vol.9, p.53754-53768
Main Authors: El-Naggar, Mohamed F., Abdelhamid, Ahmed Sayed, Elshahed, Mostafa A., El-Shimy Mahmoud Bekhet, Mohamed
Format: Article
Language:English
Subjects:
Distribution functions
Energy conversion
Failure rates
fault tree analysis
Fault trees
Layout
Maintenance engineering
Model testing
Power system reliability
Probability distribution functions
Ranking
Reliability
Reliability analysis
Reliability engineering
Renewable energy
Subassemblies
Subsystems
System reliability
wind energy
Wind energy conversion
Wind power
Wind turbines
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Summary:In this paper, an extensive reliability analysis of wind energy conversion systems (WECS) is presented. Elaborate the analysis is presented starting from the subassembly level to the subsystem level, then the system or the overall WECS. The fault tree method with a Weibull probability distribution function is introduced as a complete model for estimating the wind turbine subassemblies' reliability. The model was tested using a massive dataset of failure rates of various wind turbine subassemblies derived from relevant literature, comprising various operating concepts and the different climate conditions. In addition, ranking for various subassemblies of wind energy conversion systems concerning their impact on the overall system reliability is also presented in this paper to identify the weak items and subsystems. This identification guides the designers and planners in setting the appropriate maintenance strategies to increase the overall reliability of the considered systems and achieve a desired level of reliability. The results indicate that the model has practical applications for managing wind turbines, and the implementation demonstrates the proposed approach's effectiveness and efficiency, which may significantly enhance the WECS reliability.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2021.3070533