2018 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP)最新文献_第4页

Influence of Silica Filler Particle Size in Epoxy Resins on the Electrical Treeing Characteristic 环氧树脂中二氧化硅填料粒径对电树特性的影响

2018 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP) Pub Date : 2018-10-01 DOI: 10.1109/CEIDP.2018.8544838

D. Yamada, D. Isshiki, K. Kawashima, N. Hozumi, Y. Murakami

引用次数: 2

Hardware Friendly Neural Network for the PD Classification PD分类的硬件友好神经网络

2018 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP) Pub Date : 2018-10-01 DOI: 10.1109/CEIDP.2018.8544825

C. Gianoglio, F. Guastavino, E. Ragusa, A. Bruzzone, E. Torello

{"title":"Hardware Friendly Neural Network for the PD Classification","authors":"C. Gianoglio, F. Guastavino, E. Ragusa, A. Bruzzone, E. Torello","doi":"10.1109/CEIDP.2018.8544825","DOIUrl":"https://doi.org/10.1109/CEIDP.2018.8544825","url":null,"abstract":"Ahstract-In order to recognize on-line different kind of defects where partial discharges take place it is necessary to employ an embedded acquisition system, possibly low-cost, near to the discharges site. Such acquisition system should be capable to analyze the acquired data in real time to recognize different defect sources. For this reason, a single hidden-layer feedforward neural network (SLFN) is presented in this work. Such neural network inherits the approach adopted by the Extreme Learning Machine (ELM), but its activation functions are based on hardware friendly step (hard-limit) function. This facilitates the hardware resources optimization. In order to show the effectiveness of this solution different kind of PDs signals have been acquired. Once the data have been available, they have been divided in two sets: training and test. The training data have been used off-line to construct the model. Therefore the test data have been used on-line to perform the neural network. Moreover a comparison, in term of generalization error, between the classic ELM (based on complex activation functions, e.g. sigmoid), the Support Vector Machine (SVM) and the digital realization has been analyzed and showed. The results demonstrate how a simple algorithm as a single layer feedforward neural network is able to distinguish different kind of PDs using limited resources. Eventually the occupation area is shown on different low-cost devices varying the number of neurons in the hidden layer. The new ELM digital implementation is able to achieve good results, in term of generalization error when involved in supervised problems recognizing different kind of PD activity. These results are comparable to the ones obtainable by mean of standard ELM and SVM.","PeriodicalId":377544,"journal":{"name":"2018 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP)","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115198171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Fabrication of Permittivity Graded Materials ($varepsilon$ -FGM) by Flexible Mixture Casting Method 柔性混合铸造法制备介电常数梯度材料(varepsilon -FGM

2018 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP) Pub Date : 2018-10-01 DOI: 10.1109/CEIDP.2018.8544770

Kenta Ochiai, Atsuhiro Izu, R. O'ishi, H. Kojima, H. Mitsudome, H. Yanase, K. Okamot, K. Kato, N. Hayakawa

引用次数: 2

Surface Charge Properties of SiR/SiC Composites in DC and Pulse Combined Field SiR/SiC复合材料在直流和脉冲复合场中的表面电荷特性

2018 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP) Pub Date : 2018-10-01 DOI: 10.1109/CEIDP.2018.8544794

Z. R. Yang, B. Du, Z. L. Li, J. Li, H. M. Wanc, S. C. Fanc

{"title":"Surface Charge Properties of SiR/SiC Composites in DC and Pulse Combined Field","authors":"Z. R. Yang, B. Du, Z. L. Li, J. Li, H. M. Wanc, S. C. Fanc","doi":"10.1109/CEIDP.2018.8544794","DOIUrl":"https://doi.org/10.1109/CEIDP.2018.8544794","url":null,"abstract":"The nonlinear conductivity layer has become a highly concerned method to modify the distorted electrical field caused by the complicated cable accessory structure. It is unavoidable for a HVDC transmission system to experience transient overvoltage caused by switching and lightning. A challenge still lies in the understanding of the charge property in the insulation with nonlinear conductivity. This paper focuses on the surface charge property of silicone rubber (SiR)/SiC composites at coupling voltage. The nonlinear conductivity was obtained by blending SiC particles with the SiR matrix. The sample conductivity were measured at 30°C. The surface potential decay (SPD) was measured at 30°C. The carrier mobility and trap distribution were calculated according to the SPD. The results proved that the SiR/SiC composites presented nonlinear conductivity. At DC voltage, the initial potential becomes higher and the decay rate increases. The cross-over phenomenon was observed. The high surface potential caused by the pulse voltage leads to a nonlinear conductivity which immediately dissipates the surface charge. The increase in DC voltage is proven to be more effective in accumulating surface charge. The nonlinear conductivity and the diffusion are two factors concern the initial surface potential.","PeriodicalId":377544,"journal":{"name":"2018 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114510488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Electrical Tree Growth Under Very Low Frequency (VLF) Voltage Excitation 甚低频(VLF)电压激励下的电气树生长

2018 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP) Pub Date : 2018-10-01 DOI: 10.1109/CEIDP.2018.8544759

R. Schurch, Pablo Donoso, J. Ardila-Rey, J. Montaña, A. Angulo

{"title":"Electrical Tree Growth Under Very Low Frequency (VLF) Voltage Excitation","authors":"R. Schurch, Pablo Donoso, J. Ardila-Rey, J. Montaña, A. Angulo","doi":"10.1109/CEIDP.2018.8544759","DOIUrl":"https://doi.org/10.1109/CEIDP.2018.8544759","url":null,"abstract":"Electrical trees are a mechanism of failure of high voltage polymeric insulation. Their growth is associated to partial discharges (PD). Conventionally, PD are analyzed using phase-resolved PD plots and statistical parameters. An alternative is to exploit the tools of nonlinear time series analysis to analyze PD as a nonlinear dynamical process. Standards for field testing of power cable include the measurement of PD under very low frequency (VLF) voltage excitation. Here we calculated the correlation dimension of the reconstructed dynamic object obtained from the time series of PD during tree propagation. Also, conventionally PD analysis was carried out to compare with the alternative approach. Electrical trees grown at 0.1 Hz 14, 16 and 18 kV have been analyzed, along a tree grown at 50 Hz 14 kV for comparison. Different PD dynamics were found, depending on the applied voltage and frequency, and the stage of tree-growth. The results show that the approach using nonlinear time series analysis can be an alternative method of analyzing tree growth and PD under VLF voltage excitation.","PeriodicalId":377544,"journal":{"name":"2018 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115770139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Space Charge Measurement Under DC and DC Periodic Waveform 直流和直流周期波形下的空间电荷测量

2018 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP) Pub Date : 2018-10-01 DOI: 10.1109/CEIDP.2018.8544747

P. Romano, A. Imburgia, R. Candela

{"title":"Space Charge Measurement Under DC and DC Periodic Waveform","authors":"P. Romano, A. Imburgia, R. Candela","doi":"10.1109/CEIDP.2018.8544747","DOIUrl":"https://doi.org/10.1109/CEIDP.2018.8544747","url":null,"abstract":"In High Voltage systems, Partial Discharges (PDs) monitoring are one of the main diagnostic instrument to evaluate the reliability of the apparatus. Under Alternating Current (AC) stress, PDs detection and recognition techniques are well consolidated. On the contrary, the monitoring of PDs under Direct Current (DC) stress is difficult due to complexities related to the nature of the phenomenon, which cause the beginning of PDs events in proximity of the dielectric breakdown. This problem has been partially overcome by using a continuous Periodic waveform (DCP) with positive average value, as described in a recent published work. Under DC stress, another degradation factor is the Space Charge accumulation phenomenon. Considering that the latter phenomenon is widely influenced on the applied voltage, the aim of the proposed work was to confirm that the effect of this new DCP waveform is the same of that generated by a constant DC stress, from the space charge accumulation phenomenon point of view. The experimental tests have been performed by using the Pulsed Electro-Acoustic (PEA) method and the comparison between the charge profiles obtained by stressing the specimen with both the DC and DCP waveforms has been carried out.","PeriodicalId":377544,"journal":{"name":"2018 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124862422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Experimental Study on the Evolution of Dielectric Properties of Impregnating Varnishes with Thermal Aging 热老化浸渍漆介电性能演变的实验研究

2018 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP) Pub Date : 2018-10-01 DOI: 10.1109/CEIDP.2018.8544890

L. Fetouhi, D. Malec, P. Manfe, J. Martinez-vega

{"title":"Experimental Study on the Evolution of Dielectric Properties of Impregnating Varnishes with Thermal Aging","authors":"L. Fetouhi, D. Malec, P. Manfe, J. Martinez-vega","doi":"10.1109/CEIDP.2018.8544890","DOIUrl":"https://doi.org/10.1109/CEIDP.2018.8544890","url":null,"abstract":"Impregnating resins are used in order to provide a mechanical and an electrical insulating support to windings. This work aims to study the thermal aging of two polyester-imide resins (Class H), which are made with reactive diluent based on styrenic and methacrylate monomers. Electrical characterizations such as dielectric complex permittivity (real (ε') and imaginary (ε”) parts), DC conductivity and dielectric breakdown are measured at 180°C on virgin and aged samples in order to assess the evolution of the insulating properties with the thermal aging of 240°C. The complex dielectric permittivity (ε', ε'’) and the DC conductivity (σDC) show a decrease of values, while, the dielectric breakdown increases after few hours of thermal aging. These findings suggest an improvement of the resins insulating properties. Indeed, the initial significant increase on dielectric properties of polyester-imide varnishes with temperature due to a thermal runaway and/or to space charge mobility are no longer observed after aging. Finally, the infrared spectrometry using the Fourier Transform (FTIR) and Differential scanning spectrometry (DSC) are performed to assess the variations of the chemical structures. A possible competitive processes of both oxidation and cross-linking causing respectively degradation and structural densification could product additional charges and/or alter charge mobility that explain such electrical changes of the varnishes behaviors.","PeriodicalId":377544,"journal":{"name":"2018 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122379777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Influence of Ion Species in Electrolyte on Capacitance of EDLC 电解液中离子种类对EDLC电容的影响

2018 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP) Pub Date : 2018-10-01 DOI: 10.1109/CEIDP.2018.8544744

Shinji Matsubara, Y. Murakami, Y. Muramoto

{"title":"Influence of Ion Species in Electrolyte on Capacitance of EDLC","authors":"Shinji Matsubara, Y. Murakami, Y. Muramoto","doi":"10.1109/CEIDP.2018.8544744","DOIUrl":"https://doi.org/10.1109/CEIDP.2018.8544744","url":null,"abstract":"Electric double layer capacitor (EDLC) has the power storage element. Electric double layer (EDL) is the electrochemical phenomena. EDLC consists of two electrodes and the electrolyte. EDL by ions in the electrolytes near electrodes is formed under the voltage application. Since the distance between electrode surface and EDL is extremely small, the capacitance of EDLC is huge. However, the applied voltages of EDLC must be less than the decomposition voltage. Therefore, EDLC has the problems that an energy density is small. We have been studying ions behavior in EDLC. We hope to improve the energy density of EDLC. In our reports, the influences of ion species in electrolyte on capacitance of EDLC are showed. The electrode of EDLC is the stainless steel of parallel plate electrodes. We use four kinds of electrolyte (NaCI, KCI, CsCI, and CsBr). We applied DC voltage to EDLC and estimated the capacitance from the time dependence of an electric discharge current. As the results, it was observed that the capacitance was about 7.4 μF of NaCI, about 8.4 μF of KCI, about 9.9 μF of CsCI, and about 10.4 μF of CsBr. These results showed that the quantity of ions arrangement near the electrode was limited, since the quantity of ions arrangement was influenced due to the difference in radius of the ion. the capacitance of EDLC had a major impact in the ion species.","PeriodicalId":377544,"journal":{"name":"2018 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122477622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Combination Prediction Method of Power Transformers Based on Feature Gas Arrangement Diagram and Grey Model 基于特征气体排布图和灰色模型的电力变压器组合预测方法

2018 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP) Pub Date : 2018-10-01 DOI: 10.1109/CEIDP.2018.8544853

Xiaolu Xu, Lin Cheng, Dexin Nie, Yiming Wang, B. Qi, Peng Zhang, C. Gao, Chengrong Li

{"title":"Combination Prediction Method of Power Transformers Based on Feature Gas Arrangement Diagram and Grey Model","authors":"Xiaolu Xu, Lin Cheng, Dexin Nie, Yiming Wang, B. Qi, Peng Zhang, C. Gao, Chengrong Li","doi":"10.1109/CEIDP.2018.8544853","DOIUrl":"https://doi.org/10.1109/CEIDP.2018.8544853","url":null,"abstract":"The reliability of the power system depends directly on the operating state of the transformer. As equipment manufacturing processes and maintenance levels are continuously improved, the number of machine downtimes caused by faults is significantly reduced. Transformer faults are dominated by overheating faults and internal discharges, and energy is released at the same time as the fault occurs. The insulation material of the transformer is decomposed and cracked in the above process. Alkanes are produced and dissolved in transformer oil. A large amount of data indicates that there is a correlation between the condition of the equipment and the dissolved gas content in the oil. The time sequences data of oil chromatography shows small-scale fluctuations in the local area. In order to reduce the impact of data fluctuation on the prediction model, this paper proposes a combination prediction method of power transformers based on the feature gas arrangement diagram and grey model. Compared with the traditional grey correlation analysis, this model can solve the model divergence caused by data fluctuations. In addition, a method based on the feature gas arrangement diagram is proposed, which corrects the deviation of the prediction result based on the actual operation state of the equipment. This method improves the efficiency of the genetic algorithm and allows the model to obtain more accurate predictions. In the actual case analysis, the model proposed in this paper obtains a good application effect, especially for small sample prediction nroblems with high accuracy.","PeriodicalId":377544,"journal":{"name":"2018 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116429679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

On the Electrical Characteristic and Heat Dissipation of High Voltage Surface Arcs 高压表面电弧的电特性及散热研究

2018 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP) Pub Date : 2018-10-01 DOI: 10.1109/CEIDP.2018.8544746

S. Kuehnel, S. Kornhuber, J. Lambrecht

引用次数: 0