Two-Stage Hybrid Model for Efficiency Prediction of Centrifugal Pump
Accurately predict the efficiency of centrifugal pumps at different rotational speeds is important but still intractable in practice. To enhance the prediction performance, this work proposes a hybrid modeling method by combining both the process data and knowledge of centrifugal pumps. First, accor...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/11/4300 |
| _version_ | 1797491529832464384 |
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| author | Yi Liu Zhaoshun Xia Hongying Deng Shuihua Zheng |
| author_facet | Yi Liu Zhaoshun Xia Hongying Deng Shuihua Zheng |
| author_sort | Yi Liu |
| collection | DOAJ |
| description | Accurately predict the efficiency of centrifugal pumps at different rotational speeds is important but still intractable in practice. To enhance the prediction performance, this work proposes a hybrid modeling method by combining both the process data and knowledge of centrifugal pumps. First, according to the process knowledge of centrifugal pumps, the efficiency curve is divided into two stages. Then, the affinity law of pumps and a Gaussian process regression (GPR) model are explored and utilized to predict the efficiency at their suitable flow stages, respectively. Furthermore, a probability index is established through the prediction variance of a GPR model and Bayesian inference to select a suitable training set to improve the prediction accuracy. Experimental results show the superiority of the hybrid modeling method, compared with only using mechanism or data-driven models. |
| first_indexed | 2024-03-10T00:50:42Z |
| format | Article |
| id | doaj.art-2b8e944ffb7d4310b0e203d60c7c9369 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T00:50:42Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-2b8e944ffb7d4310b0e203d60c7c93692023-11-23T14:51:43ZengMDPI AGSensors1424-82202022-06-012211430010.3390/s22114300Two-Stage Hybrid Model for Efficiency Prediction of Centrifugal PumpYi Liu0Zhaoshun Xia1Hongying Deng2Shuihua Zheng3Institute of Process Equipment and Control Engineering, Zhejiang University of Technology, Hangzhou 310023, ChinaInstitute of Process Equipment and Control Engineering, Zhejiang University of Technology, Hangzhou 310023, ChinaInstitute of Process Equipment and Control Engineering, Zhejiang University of Technology, Hangzhou 310023, ChinaInstitute of Process Equipment and Control Engineering, Zhejiang University of Technology, Hangzhou 310023, ChinaAccurately predict the efficiency of centrifugal pumps at different rotational speeds is important but still intractable in practice. To enhance the prediction performance, this work proposes a hybrid modeling method by combining both the process data and knowledge of centrifugal pumps. First, according to the process knowledge of centrifugal pumps, the efficiency curve is divided into two stages. Then, the affinity law of pumps and a Gaussian process regression (GPR) model are explored and utilized to predict the efficiency at their suitable flow stages, respectively. Furthermore, a probability index is established through the prediction variance of a GPR model and Bayesian inference to select a suitable training set to improve the prediction accuracy. Experimental results show the superiority of the hybrid modeling method, compared with only using mechanism or data-driven models.https://www.mdpi.com/1424-8220/22/11/4300centrifugal pump efficiencyhybrid modelaffinity lawGaussian process regression |
| spellingShingle | Yi Liu Zhaoshun Xia Hongying Deng Shuihua Zheng Two-Stage Hybrid Model for Efficiency Prediction of Centrifugal Pump Sensors centrifugal pump efficiency hybrid model affinity law Gaussian process regression |
| title | Two-Stage Hybrid Model for Efficiency Prediction of Centrifugal Pump |
| title_full | Two-Stage Hybrid Model for Efficiency Prediction of Centrifugal Pump |
| title_fullStr | Two-Stage Hybrid Model for Efficiency Prediction of Centrifugal Pump |
| title_full_unstemmed | Two-Stage Hybrid Model for Efficiency Prediction of Centrifugal Pump |
| title_short | Two-Stage Hybrid Model for Efficiency Prediction of Centrifugal Pump |
| title_sort | two stage hybrid model for efficiency prediction of centrifugal pump |
| topic | centrifugal pump efficiency hybrid model affinity law Gaussian process regression |
| url | https://www.mdpi.com/1424-8220/22/11/4300 |
| work_keys_str_mv | AT yiliu twostagehybridmodelforefficiencypredictionofcentrifugalpump AT zhaoshunxia twostagehybridmodelforefficiencypredictionofcentrifugalpump AT hongyingdeng twostagehybridmodelforefficiencypredictionofcentrifugalpump AT shuihuazheng twostagehybridmodelforefficiencypredictionofcentrifugalpump |