基于MATLAB App Designer的牵引电机滚动轴承可靠性评估系统设计

doi:10.16180/j.cnki.issn1007-7820.2022.03.012

Abstract

Abstract:

Due to the uneven load and harsh operating environment during the operation of rolling bearings of traction motors, it is necessary to evaluate the reliability of rolling bearings of traction motors for metro vehicles. Based on MATLAB App Designer, the reliability evaluation system of traction motor rolling bearing is designed and developed. By extracting the time-domain and frequency-domain feature indexes of the vibration signal, the principal component analysis method is used for feature fusion. The fused characteristic index is used as the response covariate of the Weibull proportional hazard model. The moth-fighting optimization algorithm is used to optimize the Weibull proportional hazard model parameters, and the reliability function is substituted into the reliability function to calculate the reliability at any time. MATLAB App Designer is used to create module interfaces for data entry, data analysis and reliability evaluation. Experimental results show that the designed reliability evaluation system of traction motor rolling bearing has the characteristics of friendly interface, easy operation and good reliability evaluation effect, and can be widely used in different fields.

Key words: traction motor, rolling bearing, Weibull proportional hazard model, characteristic index, principal component analysis, moth-flame optimization, MATLAB App designer, reliability evaluation

CLC Number:

TN104.1

Meiyi QI,Aihua LIAO. Design of Reliability Evaluation System of Traction Motor Rolling Bearing Based on MATLAB App Designer[J].Electronic Science and Technology, 2022, 35(3): 79-86.

Figures/Tables 12

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Design of Reliability Evaluation System of Traction Motor Rolling Bearing Based on MATLAB App Designer

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