Centrifugal pump degradation identification based on GA-GMDH algorithm
[Objective]In order to monitor the health status of a centrifugal pump in real time,this study proposes a model for the real-time identification of the degradation state of centrifugal pumps.[Methods]First,based on the operating parameters and degradation mechanism of the centrifugal pump,a combined weighting model using a combination of subjective and objective weights is used to calculate the combined weights,then a health index during the degradation process of the centrifugal pump is constructed.Second,based on the ex-isting pump degradation data,a degradation identification model based on the genetic algorithm-group method of data handling(GA-GMDH)algorithm is proposed.[Results]The reliability of the GA-GMDH monitoring model is relatively high,with a root mean square error of 0.029 216 between the output values of the health index and the actual values.Based on the model's output results,the accuracy of degrada-tion state identification is 93.333%.[Conclusion]The results of this study can provide valuable references for the health monitoring and maintenance operation management of centrifugal pumps.
centrifugal pumpcombinatorial empowermenthealth indicatorsgroup method of data hand-ling(GMDH)degenerate state identification
万方数据
维普
