摘要
[目的]为实时监测离心泵的健康状态,提出一种可实时识别离心泵退化状态的模型。[方法]首先,基于离心泵的运行参数和退化机理,利用主客观相结合的组合赋权模型来计算组合权重,进而构建离心泵退化过程中的健康指标;然后,基于现有离心泵的退化数据,提出基于遗传优化-数据分组处理(GA-GMDH)算法的离心泵退化监测模型。[结果]GA-GMDH监测模型的可靠性较高,其健康指标输出值与真实值的均方根误差为0.029216,依据该模型输出结果进行退化状态识别的精度为93.333%。[结论]研究成果可为离心泵的健康状态监测以及维护运营管理提供参考。
[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 algorithmgroup method of data handling(GA-GMDH)algorithm is proposed.[Results]The reliability of the GAGMDH 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.
作者
孙广西
曹辉
张子威
马振豪
SUN Guangxi;CAO Hui;ZHANG Ziwei;MA Zhenhao(Marine Engineering College,Dalian Maritime University,Dalian 116026,China;Dalian Maritime University Smart Ship Limited Company,Dalian 116026,China)
出处
《中国舰船研究》
CSCD
北大核心
2024年第5期254-262,共9页
Chinese Journal of Ship Research
基金
国家重点研发计划资助项目(2022YFB4301403)
辽宁省科技厅科学技术计划资助项目(2022JH1/10800097)。
关键词
离心泵
组合赋权
健康指标
数据分组处理方法
退化状态识别
centrifugal pump
combinatorial empowerment
health indicators
group method of data handling(GMDH)
degenerate state identification
