Research on the Prediction Method of Centrifugal Pump Performance Based on a Double Hidden Layer BP Neural Network

Wei Han, Lingbo Nan, Min Su, Yu Chen, Rennian Li and Xuejing Zhang
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Wei Han: Department of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou 730050, China
Lingbo Nan: Department of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou 730050, China
Min Su: Department of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China
Yu Chen: Department of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou 730050, China
Rennian Li: Department of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou 730050, China
Xuejing Zhang: Department of Architecture and Transportation Engineering, Guilin University of Electronic Technology, Guilin 541004, China

Energies, 2019, vol. 12, issue 14, 1-14

Abstract: With the aim of improving the shortcomings of the traditional single hidden layer back propagation (BP) neural network structure and learning algorithm, this paper proposes a centrifugal pump performance prediction method based on the combination of the Levenberg–Marquardt (LM) training algorithm and double hidden layer BP neural network. MATLAB was used to establish a double hidden layer BP neural network prediction model to predict the head and efficiency of a centrifugal pump. The average relative error of the head between the experimental and prediction obtained by the double hidden layer BP neural network model was 4.35%, the average relative error of the model prediction efficiency and the experimental efficiency was 2.94%, and the convergence time was 1/42 of that of the single hidden layer. The double hidden layer BP neural network model effectively solves the problems of low learning efficiency and easy convergence into local minima—issues that were common in the traditional single hidden layer BP neural network training. Furthermore, the proposed model realizes hydraulic performance prediction during the design process of a centrifugal pump.

Keywords: centrifugal pump; double hidden layer; Levenberg–Marquardt algorithm; performance prediction (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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