Pub Date : 2018-06-01DOI: 10.1109/EIC.2018.8481074
M. Praeger, Zhiqiang Xu, P. Lewin, George Chen
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.
{"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}
Pub Date : 2018-06-01DOI: 10.1109/EIC.2018.8481018
L. Lusuardi, A. Cavallini, A. Caprara, F. Bardelli, A. Cattazzo
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.
{"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}
Pub Date : 2018-06-01DOI: 10.1109/EIC.2018.8481069
G. Montanari, P. Seri
The partial discharge inception voltage (PDIV) and the repetitive partial discharge inception voltage (RPDIV) are key parameters for the characterization of the insulation system of rotating machines fed by power converters. In particular, these quantities have a fundamental role in the design and qualification of Type I insulation which has to last all life without partial discharges (PD). This paper analyzes the two definitions, taken from the IEC 60034-18-41 and IEC 60034-18-42 standards, and shows potential discrepancies which can affect significantly insulation system design, especially going from two-level inverter to sinusoidal waveforms.
{"title":"About the Definition of PDIV and RPDIV in Designing Insulation Systems for Rotating Machines Controlled by Inverters","authors":"G. Montanari, P. Seri","doi":"10.1109/EIC.2018.8481069","DOIUrl":"https://doi.org/10.1109/EIC.2018.8481069","url":null,"abstract":"The partial discharge inception voltage (PDIV) and the repetitive partial discharge inception voltage (RPDIV) are key parameters for the characterization of the insulation system of rotating machines fed by power converters. In particular, these quantities have a fundamental role in the design and qualification of Type I insulation which has to last all life without partial discharges (PD). This paper analyzes the two definitions, taken from the IEC 60034-18-41 and IEC 60034-18-42 standards, and shows potential discrepancies which can affect significantly insulation system design, especially going from two-level inverter to sinusoidal waveforms.","PeriodicalId":184139,"journal":{"name":"2018 IEEE Electrical Insulation Conference (EIC)","volume":"52 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":"121441303","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}
Pub Date : 2018-06-01DOI: 10.1109/EIC.2018.8481029
A. Cimino, C. Staubach, F. Jenau
This work examines the effect of thermal, electrical and mechanical stress on the electrical insulation system of generator bars. For this purpose, test bars are aging simultaneously and subjected to stress until the insulation fails. The acceleration is achieved by increasing the mechanical stress. In order to detect possible damage, dissipation factor as well as partial discharge measurements are performed. Furthermore modal analysis is used to identify the appearance of defects. The results are set in context to previous studies to analyze multifactor aging mechanisms in highly stressed electrical insulation systems used in rotating machines. This enables further investigation on the aging process regarding lifetime estimation.
{"title":"Analysis of Accelerated Multi-Factor Aging Tests on the Winding Insulation System of Generator Stator Bars Used in Large Rotating Machines","authors":"A. Cimino, C. Staubach, F. Jenau","doi":"10.1109/EIC.2018.8481029","DOIUrl":"https://doi.org/10.1109/EIC.2018.8481029","url":null,"abstract":"This work examines the effect of thermal, electrical and mechanical stress on the electrical insulation system of generator bars. For this purpose, test bars are aging simultaneously and subjected to stress until the insulation fails. The acceleration is achieved by increasing the mechanical stress. In order to detect possible damage, dissipation factor as well as partial discharge measurements are performed. Furthermore modal analysis is used to identify the appearance of defects. The results are set in context to previous studies to analyze multifactor aging mechanisms in highly stressed electrical insulation systems used in rotating machines. This enables further investigation on the aging process regarding lifetime estimation.","PeriodicalId":184139,"journal":{"name":"2018 IEEE Electrical Insulation Conference (EIC)","volume":"22 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":"124907788","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}
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.
{"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}
Pub Date : 2018-06-01DOI: 10.1109/EIC.2018.8481086
Xiaoling Zhao, Dongxian Tan, Su Zhao, D. Xiao, Yizhou Wu, Ruishuang Zhong
Previous work shows that the interruption capability of a gas not only depends on the its material properties but also on the flow field because turbulence plays an important role in the interruption process. Recent experimental results on maximum interruptible di/dt in a model circuit breaker show that the interruption capability of CO2is about 60% that of pure SF6. A computational study of the interruption process in the above model circuit breaker with CO2as the working gas has been carried out to affirm the experimental interruption capability of CO2. Through detailed analysis of the results mechanisms responsible for the difference in the interruption capabilities of the two gases are identified and the performance dependence on material properties discussed. The suitability of turbulence coefficient is also discussed.
{"title":"Characteristic Analysis of AC Nozzle Arcs in CO2","authors":"Xiaoling Zhao, Dongxian Tan, Su Zhao, D. Xiao, Yizhou Wu, Ruishuang Zhong","doi":"10.1109/EIC.2018.8481086","DOIUrl":"https://doi.org/10.1109/EIC.2018.8481086","url":null,"abstract":"Previous work shows that the interruption capability of a gas not only depends on the its material properties but also on the flow field because turbulence plays an important role in the interruption process. Recent experimental results on maximum interruptible di/dt in a model circuit breaker show that the interruption capability of CO2is about 60% that of pure SF6. A computational study of the interruption process in the above model circuit breaker with CO2as the working gas has been carried out to affirm the experimental interruption capability of CO2. Through detailed analysis of the results mechanisms responsible for the difference in the interruption capabilities of the two gases are identified and the performance dependence on material properties discussed. The suitability of turbulence coefficient is also discussed.","PeriodicalId":184139,"journal":{"name":"2018 IEEE Electrical Insulation Conference (EIC)","volume":"8 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":"131628150","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}
Pub Date : 2018-06-01DOI: 10.1109/EIC.2018.8481024
R. Acheen, C. Abadie, T. Lebey, T. Billard, Sténhane Duchesne
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.
{"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}
Pub Date : 2018-06-01DOI: 10.1109/EIC.2018.8481064
W. Zhang, Man Xu, Kaiwen Huang, Q. Mu, George Chen
In this paper, the ß nucleating agent, N, N’-dicyclohexyl-2, 6-naphthalenedicarboxamide (TMB-5), and propylene-ethylene copolymer (PEC) was melting blended to create the ß-crystal in PEe. The content of ß nucleating agent is from 0.1 to 0.3 wt%. The crystal form, crystallinity were characterized by wide angel X-ray diffractometer, differential scanning calorimeter. The thermal stimulated current test, space charge test and DC electrical breakdown test at room temperature and 90 □ were conducted to characterize the electrical properties of these samples. The experimental results show that the TMB-5 could form ß-crystal and more content of TMB-5 more ß-crystal in PEC. At room temperature and 90□, the DC electrical breakdown strength of 0.1 wt% content 13-nucleated PEC increased 17 % and 14 % higher than pure PEC. And there was no obvious space charge accumulated in pure PEC and PEC containing TMB-5.
本文将ß成核剂N, N ' -二环己基- 2,6 -萘二甲酰胺(TMB-5)与丙烯-乙烯共聚物(PEC)熔融共混，在PEe中生成ß-晶体。成核剂的含量为0.1 ~ 0.3 wt%。用广角x射线衍射仪、差示扫描量热仪对其晶体形态、结晶度进行了表征。通过热激电流测试、空间电荷测试和室温和90℃直流击穿测试来表征样品的电学性能。实验结果表明，TMB-5能在PEC中形成ß-晶体，且TMB-5的含量越多，ß-晶体含量越高。在室温和90℃下，掺量为0.1 wt%的13核PEC的直流击穿强度分别比纯PEC高17%和14%。纯PEC和含TMB-5的PEC没有明显的空间电荷积累。
{"title":"Effect of the ß-Crystal Formation on Electrical Properties in Propylene-Ethylene Copolymer","authors":"W. Zhang, Man Xu, Kaiwen Huang, Q. Mu, George Chen","doi":"10.1109/EIC.2018.8481064","DOIUrl":"https://doi.org/10.1109/EIC.2018.8481064","url":null,"abstract":"In this paper, the ß nucleating agent, N, N’-dicyclohexyl-2, 6-naphthalenedicarboxamide (TMB-5), and propylene-ethylene copolymer (PEC) was melting blended to create the ß-crystal in PEe. The content of ß nucleating agent is from 0.1 to 0.3 wt%. The crystal form, crystallinity were characterized by wide angel X-ray diffractometer, differential scanning calorimeter. The thermal stimulated current test, space charge test and DC electrical breakdown test at room temperature and 90 □ were conducted to characterize the electrical properties of these samples. The experimental results show that the TMB-5 could form ß-crystal and more content of TMB-5 more ß-crystal in PEC. At room temperature and 90□, the DC electrical breakdown strength of 0.1 wt% content 13-nucleated PEC increased 17 % and 14 % higher than pure PEC. And there was no obvious space charge accumulated in pure PEC and PEC containing TMB-5.","PeriodicalId":184139,"journal":{"name":"2018 IEEE Electrical Insulation Conference (EIC)","volume":"74 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":"132382951","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}
In this paper, a condition assessment method based on data driven for power transformer is proposed. Collecting the historical data of dissolved gas content from the same type transformers, the probability density function and cumulative distribution function based on two-parameter Weibull model is established to acquire the distribution law for each gas. The distribution probability between different condition levels is counted to calculate condition threshold by inverse cumulative distribution function, and the condition membership functions based on condition threshold are established. According to the historical data, important weight of each gas is quantified by entropy weight method. Finally, the weighted method is applied to calculate the confidence probability of all the condition levels after obtaining the monitoring data of gas content, and the condition of transformers is determined. The application example shows that the method is data driven without any subjective factor, which assures the accuracy of the results.
{"title":"A Novel Condition Assessment Method Based on Dissolved Gas in Transformer Oil","authors":"Chunlei Ma, Rongbin Xie, Lijuan Zhang, Hang Liu, Youyuan Wang, Xuanhong Liang","doi":"10.1109/EIC.2018.8481079","DOIUrl":"https://doi.org/10.1109/EIC.2018.8481079","url":null,"abstract":"In this paper, a condition assessment method based on data driven for power transformer is proposed. Collecting the historical data of dissolved gas content from the same type transformers, the probability density function and cumulative distribution function based on two-parameter Weibull model is established to acquire the distribution law for each gas. The distribution probability between different condition levels is counted to calculate condition threshold by inverse cumulative distribution function, and the condition membership functions based on condition threshold are established. According to the historical data, important weight of each gas is quantified by entropy weight method. Finally, the weighted method is applied to calculate the confidence probability of all the condition levels after obtaining the monitoring data of gas content, and the condition of transformers is determined. The application example shows that the method is data driven without any subjective factor, which assures the accuracy of the results.","PeriodicalId":184139,"journal":{"name":"2018 IEEE Electrical Insulation Conference (EIC)","volume":"30 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":"132600441","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}
Pub Date : 2018-06-01DOI: 10.1109/EIC.2018.8481030
F. Scatiggio, M. Pompili, Luigi Calacara
Power transformers represent the highest value of the equipment installed in transmission substations, comprising up the 60% of the total investment. They are expected to operate for several decades without faults and possibly without relevant unscheduled maintenance practice. The new approach is developed for reducing time based maintenance and, increasing condition based maintenance and to introduce predictive maintenance as well. The aim of predictive maintenance is first to predict when transformer failure might occur, and secondly, to prevent occurrence of the failure by performing maintenance. Diagnostic information can be evaluated individually or better by a complex algorithm which merges all the single inputs and their Rate of Increase (RoI) creating a mono-dimensional figure called Health Index (HI). This concept represents a real ‘shifting of paradigm’, as it deeply affects the criteria for transformers grid management and selection of the electrical utilities and grid companies.
{"title":"Transformers Fleet Management Through the use of an Advanced Health Index","authors":"F. Scatiggio, M. Pompili, Luigi Calacara","doi":"10.1109/EIC.2018.8481030","DOIUrl":"https://doi.org/10.1109/EIC.2018.8481030","url":null,"abstract":"Power transformers represent the highest value of the equipment installed in transmission substations, comprising up the 60% of the total investment. They are expected to operate for several decades without faults and possibly without relevant unscheduled maintenance practice. The new approach is developed for reducing time based maintenance and, increasing condition based maintenance and to introduce predictive maintenance as well. The aim of predictive maintenance is first to predict when transformer failure might occur, and secondly, to prevent occurrence of the failure by performing maintenance. Diagnostic information can be evaluated individually or better by a complex algorithm which merges all the single inputs and their Rate of Increase (RoI) creating a mono-dimensional figure called Health Index (HI). This concept represents a real ‘shifting of paradigm’, as it deeply affects the criteria for transformers grid management and selection of the electrical utilities and grid companies.","PeriodicalId":184139,"journal":{"name":"2018 IEEE Electrical Insulation Conference (EIC)","volume":"1 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":"130585228","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}
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