Construction and analysis of the prediction model of air-and-screen cleaning unit

doi:10.14088/j.cnki.issn0439-8114.2022.14.027

Abstract

Abstract: The operating parameters of crank speed, centrifugal fan speed and cross flow fan speed were adjusted. Using BP neural network to constructa prediction model, it could realize the reverse prediction from impurity content, loss rate and power consumption to crank speed, centrifugal fan speed and cross flow fan speed. This prediction model could effectively solve the complex operation problem of parameter matching when using traditional analysis methods in the test. It provided a basis for parameter matching and optimization design of the air-and-screen cleaning unit's key components.

Key words: air-and-screen cleaning unit, BP neural network, prediction mode

CLC Number:

S225.3

LI Shu-bing, LI Qing-hua, WANG Cheng. Construction and analysis of the prediction model of air-and-screen cleaning unit[J]. HUBEI AGRICULTURAL SCIENCES, 2022, 61(14): 150-154.

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