عنوان
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A Bayesian network based framework to evaluate reliability in wind turbines
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نوع پژوهش
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مقاله چاپشده در مجلات علمی
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کلیدواژهها
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wind turbine; reliability; risk; Bayesian network
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چکیده
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The growing complexity of modern technological systems requires more flexible and powerful reliability analysis tools. Existing tools encounter a number of limitations including lack of modeling power to address components interactions for complex systems and lack of flexibility in handling component failure distribution. We propose a reliability modeling framework based on the Bayesian network (BN). It can combine historical data with expert judgment to treat data scarcity. The proposed methodology is applied to wind turbines reliability analysis. The observed result shows that a BN based reliability modeling is a powerful potential solution to modeling and analyzing various kinds of system components behaviors and interactions. Moreover, BN provides performing several inference approaches such as smoothing, filtering, what-if analysis, and sensitivity analysis for considering system.
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پژوهشگران
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مریم اشرفی (نفر اول)، حمید داودپور (نفر دوم)، وحید خداکرمی (نفر سوم)
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