Centrifugal pump external characteristic prediction method based on Gaussian process regression

Abstract

The invention discloses a centrifugal pump external characteristic prediction method based on Gaussian process regression, and belongs to the technical field of centrifugal pump external characteristic prediction. The method comprises the following steps: 1) data acquisition; 2) data processing: analyzing the recorded data, and performing normalization processing to obtain input data of the model;3) establishing an external characteristic prediction model of the centrifugal pump; and 4) evaluating a monitoring model result. According to the method, the operation data processing of the centrifugal pump and the Gaussian process regression model are combined to predict the external characteristics of the centrifugal pump, so that the operation data of the existing centrifugal pump can be analyzed, and the external characteristics of the centrifugal pump can be predicted under the condition that an external characteristic experiment of the centrifugal pump is not carried out; meanwhile, variance uncertainty provided by a Gaussian process regression model provides help for the accuracy of model prediction, and the method is suitable for the condition that the working condition change is large; according to the method, the data of the starting interval of the centrifugal pump is eliminated, so that the prediction is more accurate, and meanwhile, the risk that the model is disturbedis relatively small.

Description

technical field [0001] The invention belongs to the technical field of prediction methods for external characteristics of centrifugal pumps, and in particular relates to a prediction method for external characteristics of centrifugal pumps based on Gaussian process regression. Background technique [0002] The external characteristics of the centrifugal pump reflect the working characteristics of the centrifugal pump when it is working, and reflect the overall performance of the centrifugal pump when it is running. The external characteristics of the centrifugal pump include its head, efficiency, and power. operating conditions. When the centrifugal pump is working, its working state will change due to the influence of the external working environment. At the same time, due to the leakage, backflow, and secondary flow of the centrifugal pump, it is difficult to accurately predict the external characteristics of the centrifugal pump. [0003] In addition, the working environ...

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Problems solved by technology

When the centrifugal pump is working, its working state will change due to the influence of the external working environment. At the same time, due to the leakage, backflow, and secondary flow of the centrifugal pump, it is difficult to accurately predict the external characteristics of the centrifugal pump.

[0003] In addition, the working environment of the centrifugal pump is changeable, and the centrifugal pump is often under severe working conditions. At the same time, the efficiency-flow curve of the external characteristic curve of the centrifugal pump is prone to have a hump area, which also increases the difficulty of predicting the external characteristics of the centrifugal pump.

At present, most methods for predicting centrifugal pumps use computational fluid dynamics (CFD) to predict the external characteristic curve of centrifugal pumps, but due to the above problems, the prediction error is relatively large. , grid division, and setting of boundary conditions all require design experience, it is difficult to have a unique standard, and the simulation process is complex and requires high calculation

Using computational fluid dynamics to predict the external characteristics of centrifugal pumps is relatively time-consuming and labor-intensive

[0004] When using the relevant mechanism of the centrifugal pump to predict its external characteristics, such as the similarity law of the pump, it can predict the external characteristics of different speeds, but when the speed changes greatly, the accuracy of the prediction will be greatly reduced. At the same time, the prediction at the same speed, Due to the cavitation generated during the operation of the pump will also reduce its prediction accuracy

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