State Feature Fusion Method of AC Contactor Based on DDAE

doi:10.16628/j.cnki.2095-8188.2022.06.011

Abstract

Abstract:

The extraction of AC contactor operating state features is a necessary prerequisite to accurately predict its remaining life.Aiming at the multivariate,multi-dimensional interaction and dynamic change operating state characteristics,the state feature fusion method of AC contactor based on the deep denoising autoencoder (DDAE) is proposed.Driven by the multi-dimensional characteristic parameters,the characteristic parameters related to electrical and mechanical parameters of AC contactor are fully extracted.The DDAE feature fusion model is constructed,and the feature fusion reconstruction is carried out on the basis of preserving the original feature information to the greatest extent.Through the verification and analysis of the experimental data,the results show that it has high characterization accuracy in the operation state feature fusion of AC contactor,which lays a foundation for the accurate prediction of the remaining life of AC contactor.

Key words: AC contactor, feature extraction, deep denoising autoencoder(DDAE), feature fusion

CLC Number:

TM572.2

GAO Shizhen, LIU Shuxin. State Feature Fusion Method of AC Contactor Based on DDAE[J]. LOW VOLTAGE APPARATUS, 2022, 0(6): 57-63.

Figures/Tables 14

References 11

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使用类别	额定工作电压U_s/V	额定工作电流I_s/A	接通条件			分断条件
			I/I_s	U/U_s	cosφ	I_r/I_s	U_r/U_s	cosφ
			AC-3	380	≤17 >17	6	1	0.65 0.35	1	0.17	0.65 0.35
AC-4	660	≤17 >17	6	1	0.65 0.35	6	1	0.65 0.35

中间层神经元个数	各特征累计误差值
1	0.169 7
3	0.081 3
5	0.043 0
7	0.041 5

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