The conduction characteristics of electrical trees in XLPE cable insulation

Xie, Ansheng; Zheng, Xiaowei

doi:10.1002/app.30882

Cited by 18 publications

(7 citation statements)

References 11 publications

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“…On the other hand, these investigations are focused on the XLPE insulation morphological structure to know whether this material can be possibly reused [11]. Numerous recent experimental studies have attempted to diagnose the electrical tree in XLPE cables [12][13][14][15]. The effect of partial discharges on the electrical properties of the cable has been studied in a lot of investigations [16,17].…”

Section: Introductionmentioning

confidence: 98%

Neural networks and fuzzy logic approaches to predict mechanical properties of XLPE insulation cables under thermal aging

Boukezzi

Bessissa

Boubakeur

et al. 2016

Neural Comput & Applic

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The widespread use of cross-linked polyethylene (XLPE) as insulation in the manufacturing of medium-and high-voltage cables may be attributed to its outstanding mechanical and electrical properties. However, it is well known that degradation under service conditions is the major problem in the use of XLPE as cable insulation. Laboratory investigations of the insulations aging are time-consuming and cost-effective. To avoid such costs, we have developed two models which are based on artificial neural networks (ANNs) and fuzzy logic (FL) to predict the insulation properties under thermal aging. The proposed ANN is a supervised one based on radial basis function Gaussian and trained by random optimization method algorithm. The FL model is based on the use of fuzzy inference system. Both models are used to predict the mechanical properties of thermally aged XLPE. The obtained results are evaluated and compared to the experimental data in depth by using many statistical parameters. It is concluded that both models give practically the same prediction quality. In particular, they have ability to reproduce the nonlinear behavior of the insulation properties under thermal aging within acceptable error. Furthermore, our ANN and FL models can be used in the generalization phase where the prediction of the future state (not reached experimentally) of the insulation is made possible. Additionally, costs and time could be reduced.

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Section: Introductionmentioning

confidence: 98%

Neural networks and fuzzy logic approaches to predict mechanical properties of XLPE insulation cables under thermal aging

Boukezzi

Bessissa

Boubakeur

et al. 2016

Neural Comput & Applic

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show abstract

“…Scheme shows the static ultrasound experimental equipment consisting of a mold and an ultrasonic gen erator [3][4][5][51][52][53]. The frequency of ultrasound is 20 kHz and power ranges from 0 to 300 W; the diame ter of the horn is 15 mm.…”

Section: Materials and Sample Preparationmentioning

confidence: 99%

Effects of ultrasound on the conformational and crystallization behavior of isotactic polypropylene polymerized with different Ziegler—Natta catalyst

Chen

Liu²,

Zeng

et al. 2015

Polym. Sci. Ser. A

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Using different Ziegler-Natta catalysts, we have prepared two samples of isotactic polypropylene with similar molecular weight and average isotacticity, but different stereo defect distributions. The influence of ultrasonic irradiation on the conformation and crystallization behavior of those samples were investigated by differential scanning calorimetry, wide angle X ray diffraction and Fourier transform infrared spectros copy. The ultrasonic treatment induced a decrease in the degree of crystalline perfection and a wider distri bution range of the crystalline perfection of polypropylene. Meanwhile, the crystal particles pack looser and the crystallite size decreased under the influence of ultrasonic irradiation. On the conformation aspect, the molecular movement in polypropylene became more intensive, the molecular entanglement was reduced when ultrasound was applied. Moreover, it was found that the uniformity of stereo defect distribution also played important role in determining the conformation and crystallization behavior of polypropylene sam ples irradiated by ultrasound.

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“…Many efforts have been attempted to develop UHMWPE with low viscosity and high flowability. The incorporation of various flow modifier is a convenient and effective method for optimizing the properties of UHMWPE 5,9–13 . The common flow modification methods are the addition of high melt flow rate polymers in UHMWPE.…”

Section: Introductionmentioning

confidence: 99%

Size effects of silica on the viscosity of ultra‐high molecular weight polyethylene and its disentanglement mechanism

Liu

et al. 2023

J of Applied Polymer Sci

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The viscosity of the polymer composites is closely related to the size effect of the filler. In this study, the size effects of silica fillers on the viscosity of ultrahigh molecular weight polyethylene (UHMWPE) was investigated. The addition of 200 nm and 5 μm silica increase the viscosity, but the 7 nm silica can significantly decrease the viscosity. In order to understand the mechanism of this phenomenon, the multilevel factors of the sample in terms of matrix structure (amorphous phase entanglement, mesophase and crystalline region content) and the mobility of chain segments were analyzed. Rheology and DMA tests have shown that silica affects viscosity mainly by influencing the entanglement in the amorphous phase. Raman tests show that 7 nm silica decrease the viscosity mainly by affecting the content of the mesophase and the mobility of the chain segments in the amorphous region. The annealing process was investigated by Flash DSC, and it was found that 7 nm SiO2 can accelerate the mobility of UHMWPE chains to form a larger recrystallization area, and the addition of 200 nm and 5 μm SiO2 did not show a similar phenomenon, proving the strong size effect of SiO2 on the viscosity and disentanglement of UHMWPE.

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The conduction characteristics of electrical trees in XLPE cable insulation

Cited by 18 publications

References 11 publications

Neural networks and fuzzy logic approaches to predict mechanical properties of XLPE insulation cables under thermal aging

Neural networks and fuzzy logic approaches to predict mechanical properties of XLPE insulation cables under thermal aging

Effects of ultrasound on the conformational and crystallization behavior of isotactic polypropylene polymerized with different Ziegler—Natta catalyst

Size effects of silica on the viscosity of ultra‐high molecular weight polyethylene and its disentanglement mechanism

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