Identification of centrifugal pump flow based on feature recognition Article Swipe

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Yilin You , Xiaonan Chen , Xi Bai , Caihua Liang ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.1088/1742-6596/2355/1/012001

The flow rate of water pumps is a crucial parameter for diagnosis, optimisation and renovation of transmission and distribution systems. To solve the problems of limited measurement conditions, inadequate consideration of operational wear and tear, and large deviations in the fitted flow curves when obtaining flow rates by direct measurement or characteristic curve fitting, this paper proposes a method for identification of centrifugal pump flow rates based on feature recognition. The method combines the unknown structural parameters of a centrifugal pump with three simple and easy-to-measure operating data: pump head, frequency and power, to obtain the pump characteristics and construct a model for identification of centrifugal pump flow. At the same time, the influence of measurement errors and wear and tear on the model’s accuracy is investigated. The results show that the maximum relative error of the pump operating flow obtained by the method is 2.27%, a slight deviation from the actual measured flow. The maximum relative error of flow rate is 2.7% when a maximum measurement error of ± 0.1%, 0.5% and ± (3%+5) for the required operational data, respectively, indicating that the method has a high resistance to interference. The method considers the different degrees of operating wear and tear of the pumps, saves on equipment input and enables fast and accurate identification of the flow rate of the pumps under different operating conditions.

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Artificial Intelligence

Mechanical Engineering

Electrical Engineering

Concepts

Centrifugal pump Flow (mathematics) Volumetric flow rate Impeller Power (physics) Interference (communication) Control theory (sociology) Approximation error Maximum flow problem Hydraulic pump Feature (linguistics) Identification (biology) Flow measurement Computer science Engineering Algorithm Mathematics Artificial intelligence Mechanics Mechanical engineering Mathematical optimization Electrical engineering Botany Philosophy Control (management) Quantum mechanics Linguistics Physics Geometry Biology Channel (broadcasting)

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Type: article
Language: en
Landing Page: https://doi.org/10.1088/1742-6596/2355/1/012001
PDF: https://iopscience.iop.org/article/10.1088/1742-6596/2355/1/012001/pdf
OA Status: diamond
References: 8
Related Works: 10
OpenAlex ID: https://openalex.org/W4307890213

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DOI: https://doi.org/10.1088/1742-6596/2355/1/012001

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Title: Identification of centrifugal pump flow based on feature recognition

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Language: en

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Publication year: 2022

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Publication date: 2022-10-01

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Authors: Yilin You, Xiaonan Chen, Xi Bai, Caihua Liang

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Landing page: https://doi.org/10.1088/1742-6596/2355/1/012001

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Concepts: Centrifugal pump, Flow (mathematics), Volumetric flow rate, Impeller, Power (physics), Interference (communication), Control theory (sociology), Approximation error, Maximum flow problem, Hydraulic pump, Feature (linguistics), Identification (biology), Flow measurement, Computer science, Engineering, Algorithm, Mathematics, Artificial intelligence, Mechanics, Mechanical engineering, Mathematical optimization, Electrical engineering, Botany, Philosophy, Control (management), Quantum mechanics, Linguistics, Physics, Geometry, Biology, Channel (broadcasting)

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