2018 IEEE Electrical Insulation Conference (EIC)最新文献_第10页

Partial Discharge in Mass-Impregnated, Lapped PPLP Cables 大量浸渍、搭接的PPLP电缆的局部放电

2018 IEEE Electrical Insulation Conference (EIC) Pub Date : 2018-06-01 DOI: 10.1109/EIC.2018.8481074

M. Praeger, Zhiqiang Xu, P. Lewin, George Chen

{"title":"Partial Discharge in Mass-Impregnated, Lapped PPLP Cables","authors":"M. Praeger, Zhiqiang Xu, P. Lewin, George Chen","doi":"10.1109/EIC.2018.8481074","DOIUrl":"https://doi.org/10.1109/EIC.2018.8481074","url":null,"abstract":"The work presented here tackles three key objectives: Firstly, a method of producing realistic models of lapped HVDC cables is devised and implemented. Secondly, the properties of poly propylene laminated paper (PPLP) as used in mass impregnated (MI), HVDC cables are investigated. Finally, partial discharge (PD) measurements are made under DC conditions in order to assess the suitability of this method for online condition monitoring of HVDC assets. In-house fabrication of model HVDC cables makes it possible to deliberately insert defects into the samples during manufacture. The PD behavior of mass impregnated samples is thereby compared with dry lapped ones and it is shown that dry samples (or dry regions within a cable) exhibit higher rates of PD but with decreased average PD charge. In addition, DC PD is measured for specimens that are subjected to bending. In this study no clear change in DC PD is observed due to bending (even up to the point of failure due to breakdown). Dissection of a sample that has broken down reveals the extensive damage caused by the bending. It is concluded that DC PD tests are relatively insensitive to cable bending defects and that fluid impregnant may further mask these. DC PD is, however, quite sensitive to incomplete impregnation and may be well suited to continuous monitoring where large data sets are available.","PeriodicalId":184139,"journal":{"name":"2018 IEEE Electrical Insulation Conference (EIC)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133584356","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

The Impact of Test Voltage Waveform in Determining the Repetitive Partial Discharge Inception Voltage of Type I Turn/Turn Insulation Used in Inverter-Fed Induction Motors 试验电压波形对确定变频感应电动机用I型匝/匝绝缘重复局部放电起始电压的影响

2018 IEEE Electrical Insulation Conference (EIC) Pub Date : 2018-06-01 DOI: 10.1109/EIC.2018.8481018

L. Lusuardi, A. Cavallini, A. Caprara, F. Bardelli, A. Cattazzo

{"title":"The Impact of Test Voltage Waveform in Determining the Repetitive Partial Discharge Inception Voltage of Type I Turn/Turn Insulation Used in Inverter-Fed Induction Motors","authors":"L. Lusuardi, A. Cavallini, A. Caprara, F. Bardelli, A. Cattazzo","doi":"10.1109/EIC.2018.8481018","DOIUrl":"https://doi.org/10.1109/EIC.2018.8481018","url":null,"abstract":"The reliability of induction motors stators realized using Type I insulation systems is ensured only when the partial discharge inception voltage (PDIV) is larger than the operating voltage. The concept of Repetitive PDIV (RPDIV) has been proposed as a replacement of PDIV for tests performed under surges or repetitive square waves. RPDIV estimates exceed the PDIV level. The difference might depend on the surge repetition frequency, possibly providing contradicting results using different high voltage sources. Thus, the industry is concerned about the use of RPDIV in place of PDIV and the possible implications for the quality of the stators. Also, little has been discussed about the randomness of measurements and how to treat data using appropriate statistical tools. In this paper, we shall show results of PDIV and RPDIV tests performed on twisted pairs subjected to AC sinusoidal voltages, surges from a commercial surge generator, and unipolar square waves from a high voltage MOSFET. Tests are performed on ten twisted pairs to derive the distribution of RPDIV estimates and compare the differences using statistical tools. Different types of wire are considered to carry out a comparative analysis.","PeriodicalId":184139,"journal":{"name":"2018 IEEE Electrical Insulation Conference (EIC)","volume":"821 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133322971","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: 13

About the Definition of PDIV and RPDIV in Designing Insulation Systems for Rotating Machines Controlled by Inverters 逆变控制旋转机械绝缘设计中PDIV和RPDIV的定义

2018 IEEE Electrical Insulation Conference (EIC) Pub Date : 2018-06-01 DOI: 10.1109/EIC.2018.8481069

G. Montanari, P. Seri

引用次数: 10

Analysis of Accelerated Multi-Factor Aging Tests on the Winding Insulation System of Generator Stator Bars Used in Large Rotating Machines 大型旋转机械发电机定子棒绕组绝缘系统多因素加速老化试验分析

2018 IEEE Electrical Insulation Conference (EIC) Pub Date : 2018-06-01 DOI: 10.1109/EIC.2018.8481029

A. Cimino, C. Staubach, F. Jenau

引用次数: 5

Power Transformer Abnormal State Recognition Model Based on Improved K-Means Clustering 基于改进k均值聚类的电力变压器异常状态识别模型

2018 IEEE Electrical Insulation Conference (EIC) Pub Date : 2018-06-01 DOI: 10.1109/EIC.2018.8481060

Xuanhong Liang, Youyuan Wang, Houying Li, Yigang He, Yushun Zhao

{"title":"Power Transformer Abnormal State Recognition Model Based on Improved K-Means Clustering","authors":"Xuanhong Liang, Youyuan Wang, Houying Li, Yigang He, Yushun Zhao","doi":"10.1109/EIC.2018.8481060","DOIUrl":"https://doi.org/10.1109/EIC.2018.8481060","url":null,"abstract":"At present, most of the data of the running transformers are normal state data. In order to utilize the historical normal state data to identify efficiently whether the new data are abnormal, a power transformer abnormal state quick recognition model based on improved K-means clustering, is proposed in this paper. To solve the problems of traditional K-means clustering, an improvement about choosing K value and initial cluster center based on data density and distance is proposed. The improvement can make K-means clustering get stable cluster centers and K value to greatly decrease the times of iterations and make the process of clustering quicker, more stable and efficient. Most of the power transformer data are normal state data. And the normal state data gradually change according to a certain trend while the abnormal state data change rapidly. Based on the historical normal data and improved K-means clustering, a quick recognition model for power transformer is established. According to the clustering results of normal data, thresholds can be calculated to identify new data. The example analysis shows that the improved algorithm can effectively identify the abnormal state of the power transformer quickly and accurately.","PeriodicalId":184139,"journal":{"name":"2018 IEEE Electrical Insulation Conference (EIC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122890384","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: 6

Characteristic Analysis of AC Nozzle Arcs in CO2 CO2中交流喷嘴电弧特性分析

2018 IEEE Electrical Insulation Conference (EIC) Pub Date : 2018-06-01 DOI: 10.1109/EIC.2018.8481086

Xiaoling Zhao, Dongxian Tan, Su Zhao, D. Xiao, Yizhou Wu, Ruishuang Zhong

引用次数: 0

Comparison of the Electrical Ageing Under Sinusoidal and Square-Wave Stresses 正弦波和方波应力下电老化的比较

2018 IEEE Electrical Insulation Conference (EIC) Pub Date : 2018-06-01 DOI: 10.1109/EIC.2018.8481024

R. Acheen, C. Abadie, T. Lebey, T. Billard, Sténhane Duchesne

{"title":"Comparison of the Electrical Ageing Under Sinusoidal and Square-Wave Stresses","authors":"R. Acheen, C. Abadie, T. Lebey, T. Billard, Sténhane Duchesne","doi":"10.1109/EIC.2018.8481024","DOIUrl":"https://doi.org/10.1109/EIC.2018.8481024","url":null,"abstract":"The problematics of ageing in the Electrical Insulation Systems (EIS), especially in machines fed by adjustable speed drives, have been studied in numerous scientific publications, and even more with the introduction of wide-band gaps materials such as SiC. These fast-switching components induce over-voltages, which allow partial discharges to incept and lead to an erosion of the insulation materials. Various ageing mechanisms exist and depend on multiple parameters, but the influence of voltage slope, and therefore rise time, is a controversial subject which could require some further examination. Thus, it may be interesting to determine if these parameters have a direct impact on the ageing of EIS or if they only contribute to it indirectly, while their own effect would be less significant. To clarify this point, accelerated tests were performed and aimed at the comparison between the ageing of samples supplied by sinusoidal and square-wave stresses. The amplitude and frequency of the signals were the same, with a duty cycle of 50% in order to study the influence of the voltage slope only. Several levels of stress and frequencies were selected for the analysis and with additional purpose of reduction of tests duration. Lifetimes of samples were recorded to determine if there were any differences and to what extent.","PeriodicalId":184139,"journal":{"name":"2018 IEEE Electrical Insulation Conference (EIC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132051514","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: 5

Effect of the ß-Crystal Formation on Electrical Properties in Propylene-Ethylene Copolymer ß-晶体形成对丙烯-乙烯共聚物电性能的影响

2018 IEEE Electrical Insulation Conference (EIC) Pub Date : 2018-06-01 DOI: 10.1109/EIC.2018.8481064

W. Zhang, Man Xu, Kaiwen Huang, Q. Mu, George Chen

引用次数: 1

A Novel Condition Assessment Method Based on Dissolved Gas in Transformer Oil 基于变压器油中溶解气体的状态评估新方法

2018 IEEE Electrical Insulation Conference (EIC) Pub Date : 2018-06-01 DOI: 10.1109/EIC.2018.8481079

Chunlei Ma, Rongbin Xie, Lijuan Zhang, Hang Liu, Youyuan Wang, Xuanhong Liang

引用次数: 4

Transformers Fleet Management Through the use of an Advanced Health Index 通过使用高级健康指数来管理变形金刚车队

2018 IEEE Electrical Insulation Conference (EIC) Pub Date : 2018-06-01 DOI: 10.1109/EIC.2018.8481030

F. Scatiggio, M. Pompili, Luigi Calacara

引用次数: 12