Chinese Journal of Ship Research, Volume. 19, Issue 5, 254(2024)

Centrifugal pump degradation identification based on GA-GMDH algorithm

Guangxi SUN1... Hui CAO1,2, Ziwei ZHANG1 and Zhenhao MA1 |Show fewer author(s)
Author Affiliations
  • 1Marine Engineering College, Dalian Maritime University, Dalian 116026, China
  • 2Dalian Maritime University Smart Ship Limited Company, Dalian 116026, China
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    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 existing 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 0.029216 between the output values of the health index and the actual values. Based on the model's output results, the accuracy of degradation 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.

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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

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    Paper Information

    Category: Marine Machinery, Electrical Equipment and Automation

    Received: Aug. 15, 2023

    Accepted: --

    Published Online: Mar. 14, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.03513

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