Research on Lifespan Prediction of Cross-Linked Polyethylene Material for XLPE Cables

被引:12
|
作者
Zhang, Yi [1 ]
Wu, Zaijun [1 ]
Qian, Cheng [1 ]
Tan, Xiao [2 ]
Yang, Jinggang [2 ]
Zhong, Linlin [1 ]
机构
[1] Southeast Univ, Sch Elect Engn, Nanjing 210096, Peoples R China
[2] State Grid Jiangsu Elect Power Co, Res Inst, Nanjing 210008, Peoples R China
来源
APPLIED SCIENCES-BASEL | 2020年 / 10卷 / 15期
基金
中国国家自然科学基金;
关键词
XLPE cables; lifespan prediction parameters; correlation calculation; BP neural network; INSULATED CABLE; POWER-CABLES;
D O I
10.3390/app10155381
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Featured Application The prediction method proposed in this paper can be used to determine the operating time of cross-linked polyethylene (XLPE) cables from Factory A, which can be widely adopted in future research. In this paper, cross-linked polyethylene (XLPE) cables of the same batch from Factory A, which ran from 1 to 8 years in Jiangsu Province, are sampled. Some widely accepted aging characterization methods of XLPE cables such as the gel content test, differential scanning calorimetry (DSC) test, tensile test and hardness test are employed to obtain the physicochemical, mechanical and electrical properties of the samples. Then, some lifespan prediction parameters significantly correlated with operating time are obtained through correlation calculations. Finally, a prediction method is proposed to predict the operating time of XLPE cables from Factory A. The test results indicate that parameters including the gel contentC(ge), the crystallinityX(C), tensile strength sigma, ultimate elongation delta, the dielectric permittivity epsilon, and the dielectric lossJ(tan)are significantly correlated with operating time, which can be used in evaluating the aging degree of XLPE cables. Moreover, due to the high accuracy of the experimental verification, it turns out that the lifespan prediction method proposed in this paper can be used to determine the operating time of XLPE cables from Factory A in future research.
引用
收藏
页数:13
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