A Research on the Prediction Method of Sealing Quality of M-type Gearbox Assembly

doi:10.3969/j.issn.1007-7375.2022.02.003

Abstract

Abstract: In order to predict the seal quality of the gearbox assembly and improve the first-time assembly pass rate, a grey relational analysis and genetic algorithm-BP neural network prediction model is proposed. Applying the grey relational analysis method, the grey relational degree of the assembly process parameters is calculated, and the key assembly process parameters that affect the sealing quality of the gearbox assembly are determined. A BP neural network prediction model based on GA is established to predict the leakage value of M-type gearbox assembly. The results of several prediction methods show that the average relative error of the prediction value obtained by the proposed prediction method is the smallest, about 5.67, which verifies the effectiveness of the prediction method.

Key words: gearbox, seal quality, prediction, grey correlation analysis, genetic algorithm, BP neural network

CLC Number:

TH161+.7

ZHOU Kangqu, ZHANG Chaowu, QU Qing, TANG Zhezhan. A Research on the Prediction Method of Sealing Quality of M-type Gearbox Assembly[J]. Industrial Engineering Journal, 2022, 25(2): 22-27,41.

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