Research on Dynamic Maintenance Strategy of Hydraulic Generator Components Based on Hidden Markov and Inverse Method
I In order to improve the existing maintenance strategy formulation level of hydraulic generator components,a dynamic maintenance strategy formulation method of hydraulic generator components based on hidden Markov and backstepping method is proposed.Taking the rotating blades of the hydropower station as the research object,the possible residence time of different crack states of the rotating blades is predicted based on the hidden Markov model to dynamically update the maintenance cycle.According to the state prediction results,the risk contribution rate of different crack states of the rotating blade is quantified based on the inverse method to formulate a differentiated individual optimal maintenance strategy.The results show that this method can effectively reduce the risk probability and reduce the maintenance cost.The research results can provide a theoretical basis for engineering practice.
Hydroelectric power generation unitsHidden Markov ModelReverse deduction methodMaintenance strategy
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