Chinese Journal of Ship Research, Volume. 19, Issue 5, 254(2024)
Centrifugal pump degradation identification based on GA-GMDH algorithm
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.
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 existing pump degradation data, a degradation identification model based on the genetic algorithm-group method of data handling (GA-GMDH) algorithm is proposed.
The reliability of the GA-GMDH monitoring model is relatively high, with a root mean square error of
The results of this study can provide valuable references for the health monitoring and maintenance operation management of centrifugal pumps.
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Guangxi SUN, Hui CAO, Ziwei ZHANG, Zhenhao MA. Centrifugal pump degradation identification based on GA-GMDH algorithm[J]. Chinese Journal of Ship Research, 2024, 19(5): 254
Category: Marine Machinery, Electrical Equipment and Automation
Received: Aug. 15, 2023
Accepted: --
Published Online: Mar. 14, 2025
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