Health assessment model of francis turbine based on adaptive comprehensive weights
[Objective]At present,the demand for condition-based maintenance of units in the hydropower industry is very strong.So condition assessment,as a key part in condition-based maintenance,is paid widespread attention to.However,the current method of health assessment face problems.It has difficulty in guiding the optimization of maintenance projects,subjec-tive blind obedience in determining weights,and the negligence of abnormal indicators to be overwhelmed.Therefore,this article proposes a health assessment model of Francis turbine based on adaptive comprehensive weights.[Methods]Firstly,based on actual situation,a multi-indicator system of Francis turbine is established.This system is divided into equipment layer,compo-nent layer and indicator layer.Secondly,based on the types of indicators for Francis turbines,the scoring values,monitoring val-ues,and test values are respectively converted into quantitative values for health assessment;Finally,S-AHP(Self-adaptive An-alytic Hierarchy Process,S-AHP)is used to determine the initial relative weights and introduce objective correction factors α to obtain comprehensive weights β.The health values of entire equipment and their components are calculated.[Results]Based on the unit 3 of a certain hydropower station,its monitoring and maintenance data on a certain day in 2021 were substituted into the health assessment model and the constant weight model.The result show that the health value of the Francis turbine is 0.730 1 by using the model in this paper.The result indicates the equipment and its turbine guide bearing is in a mild ill state.Besides,it is more realistic than the constant weight model result.[Conclusion]In conclusion,the evaluation result of the health assessment model in this paper is more realistic than the constant weight model for Francis turbines.And the result can guide the optimization of maintenance projects.This model is worth promoting and applying due to the valuable reference for the condition-based mainte-nance of Francis turbines.
francis turbineadaptive AHPevaluation index systemweight adaptationhealth assessmentinfluence factors
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