Pub Date : 2018-09-01DOI: 10.1109/CMD.2018.8535860
G. Kang
This paper deals with development, testing, implementation and on-site operation of the Diagnostic monitoring system for GIS and Power transformer. Our diagnostic monitoring system allow the following: monitoring of circuit breaker with parameters about the coil opening/closing time, full breaking/opening time and slope of stroke for GIS, tap changer with the operating time, bushing, and Instrumentation of dissolved gas analysis (DGA) for the transformer. As our system is on-line monitoring, the system support diagnosis analysis, managing event/alarm, trend and etc. Also, it is installed and on-site operation.
{"title":"Power Equipment Diagnosis & preventive System for GIS and Transformer","authors":"G. Kang","doi":"10.1109/CMD.2018.8535860","DOIUrl":"https://doi.org/10.1109/CMD.2018.8535860","url":null,"abstract":"This paper deals with development, testing, implementation and on-site operation of the Diagnostic monitoring system for GIS and Power transformer. Our diagnostic monitoring system allow the following: monitoring of circuit breaker with parameters about the coil opening/closing time, full breaking/opening time and slope of stroke for GIS, tap changer with the operating time, bushing, and Instrumentation of dissolved gas analysis (DGA) for the transformer. As our system is on-line monitoring, the system support diagnosis analysis, managing event/alarm, trend and etc. Also, it is installed and on-site operation.","PeriodicalId":6529,"journal":{"name":"2018 Condition Monitoring and Diagnosis (CMD)","volume":"300 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89033501","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 : 2018-09-01DOI: 10.1109/CMD.2018.8535901
S. Maneerot, N. Pattanadech
This paper details an investigation of the effect of contaminant particles at several different temperatures on the 50 Hz AC breakdown voltage of two dielectric liquids - mineral oil and palm oil. The liquids in the test cell used were comprised of various combinations of the following: a) three particle types (cellulose, spherical iron and copper) of approximately 20 μm diameter, b) three contaminant concentrations i.e.0.001% m/V, 0.003% m/V and 0.005% m/V, and c) four liquid temperatures i.e. 25°C, 50°C, 70°C, and 90°C. were investigated with mushroom shaped electrodes in accordance with IEC 60156. The results obtained in this test process showed that the presence of the added particles in the tested dielectric liquids consistently provided a reduction in breakdown voltage, and that the reduction factor varied according to particle type, particle concentration, liquid type, and liquid temperature, and on whether they consisted of cellulose insulation material or copper and iron conducting material summarizing the test results, it was shown that higher contaminant concentration produced lower breakdown voltages, that the addition of copper particles had the most significant effect on reducing breakdown strength, and that the greatest reduction of breakdown strength was measured in the contaminated mineral oil test samples at a test temperature of 70°C.
{"title":"Effect of Contaminant on Breakdown Characteristics of Mineral Oil and Palm Oil","authors":"S. Maneerot, N. Pattanadech","doi":"10.1109/CMD.2018.8535901","DOIUrl":"https://doi.org/10.1109/CMD.2018.8535901","url":null,"abstract":"This paper details an investigation of the effect of contaminant particles at several different temperatures on the 50 Hz AC breakdown voltage of two dielectric liquids - mineral oil and palm oil. The liquids in the test cell used were comprised of various combinations of the following: a) three particle types (cellulose, spherical iron and copper) of approximately 20 μm diameter, b) three contaminant concentrations i.e.0.001% m/V, 0.003% m/V and 0.005% m/V, and c) four liquid temperatures i.e. 25°C, 50°C, 70°C, and 90°C. were investigated with mushroom shaped electrodes in accordance with IEC 60156. The results obtained in this test process showed that the presence of the added particles in the tested dielectric liquids consistently provided a reduction in breakdown voltage, and that the reduction factor varied according to particle type, particle concentration, liquid type, and liquid temperature, and on whether they consisted of cellulose insulation material or copper and iron conducting material summarizing the test results, it was shown that higher contaminant concentration produced lower breakdown voltages, that the addition of copper particles had the most significant effect on reducing breakdown strength, and that the greatest reduction of breakdown strength was measured in the contaminated mineral oil test samples at a test temperature of 70°C.","PeriodicalId":6529,"journal":{"name":"2018 Condition Monitoring and Diagnosis (CMD)","volume":"20 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78677793","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 : 2018-09-01DOI: 10.1109/CMD.2018.8535752
Oluş Sönmez, G. Komurgoz
High temperature rise problem, one of the most serious problems for transformers. Loading cycles and ambient conditions of transformers can be different than design conditions. Transformer top-oil temperature and winding hot spot temperatures are most critical parameters for transformer because it causes aging and therefore affects life time of transformer. It is very important to determine hot-spot temperature and oil temperature accurately which depends on ambient conditions and loading conditions to avoid loss of life on transformer. IEEE C57.91-2011 and IEC 60076–7 standards present thermal models for defining critical temperatures in transformers. These models are widely used in industry. On the other hand these methods are solved with exponential equations and they do not take into account the effects of change on oil temperature. Dynamic thermal model which is proposed by D. Susa, requires similar input parameters with IEEE C57.91-2011 model and IEC 60076–7 model, in addition to this, this thermal model takes into account the effects of change on oil temperature. Scope of this study will be to verify three different temperature rise models for distribution transformers to allow optimum loading of natural oil cooled transformers by using the data which could be obtained from manufacturer. In this study, on a 1000 kVA 33/0.4 kV ONAN cooled distribution transformer, two temperature rise tests will be realized. Significant advantage of this study will be, necessary parameters for all thermal models will be determined with proper measurements of tested unit, therefore all three models will be compared under same conditions.
{"title":"Determination of Hot-Spot Temperature for ONAN Distribution Transformers with Dynamic Thermal Modelling","authors":"Oluş Sönmez, G. Komurgoz","doi":"10.1109/CMD.2018.8535752","DOIUrl":"https://doi.org/10.1109/CMD.2018.8535752","url":null,"abstract":"High temperature rise problem, one of the most serious problems for transformers. Loading cycles and ambient conditions of transformers can be different than design conditions. Transformer top-oil temperature and winding hot spot temperatures are most critical parameters for transformer because it causes aging and therefore affects life time of transformer. It is very important to determine hot-spot temperature and oil temperature accurately which depends on ambient conditions and loading conditions to avoid loss of life on transformer. IEEE C57.91-2011 and IEC 60076–7 standards present thermal models for defining critical temperatures in transformers. These models are widely used in industry. On the other hand these methods are solved with exponential equations and they do not take into account the effects of change on oil temperature. Dynamic thermal model which is proposed by D. Susa, requires similar input parameters with IEEE C57.91-2011 model and IEC 60076–7 model, in addition to this, this thermal model takes into account the effects of change on oil temperature. Scope of this study will be to verify three different temperature rise models for distribution transformers to allow optimum loading of natural oil cooled transformers by using the data which could be obtained from manufacturer. In this study, on a 1000 kVA 33/0.4 kV ONAN cooled distribution transformer, two temperature rise tests will be realized. Significant advantage of this study will be, necessary parameters for all thermal models will be determined with proper measurements of tested unit, therefore all three models will be compared under same conditions.","PeriodicalId":6529,"journal":{"name":"2018 Condition Monitoring and Diagnosis (CMD)","volume":"1 1","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76370228","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 : 2018-09-01DOI: 10.1109/CMD.2018.8535969
Jiangting Liu, Kaifeng Zhou, Yue Hu
Experiment shows that high-frequency pulse current exists when arc fault occurs, which is one of signal characteristics that can be used for arc fault detection or early warning of potential low voltage arc. Motivated by this, it's critical to make a detailed time-frequency analysis of the arc fault signal. In this paper, we present an empirical mode decomposition (EMD) and Wigner- Ville distribution (WVD) method based high-frequency current analysis of low voltage arc. To eliminate the cross-terms caused by only WVD, we firstly decompose the denoised signal into single frequency component by using EMD, then use WVD to analyze each single component. The final waveform can help study the relationship between attenuation of high-frequency current and distance or frequency. Experimental results demonstrate that the proposed method shows higher accuracy and reliability in signal characteristics analysis, laying foundation to further detection and localization of arc fault.
{"title":"EMD- WVD Method Based High- Frequency Current Analysis of Low Voltage Arc","authors":"Jiangting Liu, Kaifeng Zhou, Yue Hu","doi":"10.1109/CMD.2018.8535969","DOIUrl":"https://doi.org/10.1109/CMD.2018.8535969","url":null,"abstract":"Experiment shows that high-frequency pulse current exists when arc fault occurs, which is one of signal characteristics that can be used for arc fault detection or early warning of potential low voltage arc. Motivated by this, it's critical to make a detailed time-frequency analysis of the arc fault signal. In this paper, we present an empirical mode decomposition (EMD) and Wigner- Ville distribution (WVD) method based high-frequency current analysis of low voltage arc. To eliminate the cross-terms caused by only WVD, we firstly decompose the denoised signal into single frequency component by using EMD, then use WVD to analyze each single component. The final waveform can help study the relationship between attenuation of high-frequency current and distance or frequency. Experimental results demonstrate that the proposed method shows higher accuracy and reliability in signal characteristics analysis, laying foundation to further detection and localization of arc fault.","PeriodicalId":6529,"journal":{"name":"2018 Condition Monitoring and Diagnosis (CMD)","volume":"120 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82095607","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 : 2018-09-01DOI: 10.1109/CMD.2018.8535781
Longxiao Chen, Li-Ming Yang, Zhien Zhu, Xike Wu
Flexible DC cable is the most important carrier of flexible DC transmission, while the flexible DC cable terminal is the weakest part of the whole cable system. When the load applied in the flexible DC cable system is different, the stable operation temperature of flexible DC cable conductor will be different, each part of the terminal insulating material temperature changes, which makes the conductivity changes. Therefore, the electric field distribution of the DC cable terminal also presents difference with the change of load. Due to the conductivity is a function of changing with temperature and electric field, using analytic method to solve the electric field distribution in terminal insulating layer is very difficult. This paper has compared the calculation results of analytical method and finite element method by calculating DC cable. The results show the consistency of analytical method and finite element method. Through the research on the temperature field and the electric field distribution of flexible DC cable terminal insulation, fully grasp the law of the electric field distribution of terminal insulation layer, provide the research foundation of flexible DC cable terminal structure design and optimization, and also provide technical support for China's ± 535kV and ± 800kV UHVDC transmission project.
{"title":"Effects of Different Load on Temperature and Electric Field Distribution of Flexible DC Cable Terminal","authors":"Longxiao Chen, Li-Ming Yang, Zhien Zhu, Xike Wu","doi":"10.1109/CMD.2018.8535781","DOIUrl":"https://doi.org/10.1109/CMD.2018.8535781","url":null,"abstract":"Flexible DC cable is the most important carrier of flexible DC transmission, while the flexible DC cable terminal is the weakest part of the whole cable system. When the load applied in the flexible DC cable system is different, the stable operation temperature of flexible DC cable conductor will be different, each part of the terminal insulating material temperature changes, which makes the conductivity changes. Therefore, the electric field distribution of the DC cable terminal also presents difference with the change of load. Due to the conductivity is a function of changing with temperature and electric field, using analytic method to solve the electric field distribution in terminal insulating layer is very difficult. This paper has compared the calculation results of analytical method and finite element method by calculating DC cable. The results show the consistency of analytical method and finite element method. Through the research on the temperature field and the electric field distribution of flexible DC cable terminal insulation, fully grasp the law of the electric field distribution of terminal insulation layer, provide the research foundation of flexible DC cable terminal structure design and optimization, and also provide technical support for China's ± 535kV and ± 800kV UHVDC transmission project.","PeriodicalId":6529,"journal":{"name":"2018 Condition Monitoring and Diagnosis (CMD)","volume":"5 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82190174","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 : 2018-09-01DOI: 10.1109/CMD.2018.8535884
Yuhang Shi, Wefgel Lu, Fan Zhang, Y. Dang, C. Zhan, S. Ji, Ziqian Zhu
The vibration of the oil-tank can reflect the mechanical condition of transformer internal windings and cores. Although there were several studies about the vibration of the transformer, most of them do not take into account the inherent connection between different measuring points, which results in insufficient utilization of vibration information. To conquer this shortcoming, a fault diagnosis method for transformer winding looseness based on vibration sensor array is proposed. An array measurement system was set up, and a suitable measurement method was put forward. Because the voltage fluctuation of the transformer in actual operation is very small while the load current fluctuates greatly and the winding vibration is mainly influenced by the current. Load tests were conducted on a single-phase transformer. The influence of the current on the vibration characteristics was studied. Different levels of winding looseness were set up and their vibration characteristics were studied. The matrix distance was used to judge the deviation of the array signal. The results show that the array signal does not change with the current change. When the windings are loosened, the array distance of the array signal increases significantly. It provides a new idea for the diagnosis of the mechanical fault of transformer windings based on vibration signals.
{"title":"Diagnosis of Transformer Winding Looseness Based on Vibration Sensor Array","authors":"Yuhang Shi, Wefgel Lu, Fan Zhang, Y. Dang, C. Zhan, S. Ji, Ziqian Zhu","doi":"10.1109/CMD.2018.8535884","DOIUrl":"https://doi.org/10.1109/CMD.2018.8535884","url":null,"abstract":"The vibration of the oil-tank can reflect the mechanical condition of transformer internal windings and cores. Although there were several studies about the vibration of the transformer, most of them do not take into account the inherent connection between different measuring points, which results in insufficient utilization of vibration information. To conquer this shortcoming, a fault diagnosis method for transformer winding looseness based on vibration sensor array is proposed. An array measurement system was set up, and a suitable measurement method was put forward. Because the voltage fluctuation of the transformer in actual operation is very small while the load current fluctuates greatly and the winding vibration is mainly influenced by the current. Load tests were conducted on a single-phase transformer. The influence of the current on the vibration characteristics was studied. Different levels of winding looseness were set up and their vibration characteristics were studied. The matrix distance was used to judge the deviation of the array signal. The results show that the array signal does not change with the current change. When the windings are loosened, the array distance of the array signal increases significantly. It provides a new idea for the diagnosis of the mechanical fault of transformer windings based on vibration signals.","PeriodicalId":6529,"journal":{"name":"2018 Condition Monitoring and Diagnosis (CMD)","volume":"65 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82383859","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 : 2018-09-01DOI: 10.1109/CMD.2018.8535817
Akhmad Fauzan, U. Khayam, Suwarno, M. Kozako, M. Hikita
Partial discharge (PD) is one of electrical phenomena which might occur in high voltage (HV) equipment and can be used for diagnosing the condition of equipment. PD emits electromagnetic wave that can be detected by antenna device. Many types of ultra-high frequency (UHF) antenna have been developed to achieve a better sensitivity and accuracy in certain bandwidth (300 MHz–3.0 GHz) for detecting the UHF component generated by PD. This paper presents a new concept design of a small, easy to fabricate, 3-D cube antenna made of copper sheet as main material. Three antenna prototypes are proposed which operate at three different dominant frequencies, 1.46GHz, 2.26GHz and 2.82GHz. Each antenna prototype was designed with a three-dimension finite difference time domain (FDTD) simulation software (CTC Co.; MAGNA TDM version 8.3). Measurements of frequency dependence of return loss of thus designed antenna prototype were made with a vector network analyzer (VNA). PD measurement in electrode system including artificial PD source was also conducted to evaluate the performance of the developed antennas. In consideration of high frequency PD component, the experiment was using artificial PD object; needle-plane electrode 2mm gap and rod-plane electrode 0.2mm gap with 1m distance from the antenna prototype. Electromagnetic wave (EM) intensity and frequency captured by the antenna prototype then compared. It was found that the antenna prototype detected average PD magnitude value ranged in the order of 1500pC for the object PD source. Measurement of antenna prototype directivity is also examined and obtained a good agreement with the simulation result.
{"title":"Design and Fabrication of 3-D Cube UHF Antenna for Partial Discharge Detection","authors":"Akhmad Fauzan, U. Khayam, Suwarno, M. Kozako, M. Hikita","doi":"10.1109/CMD.2018.8535817","DOIUrl":"https://doi.org/10.1109/CMD.2018.8535817","url":null,"abstract":"Partial discharge (PD) is one of electrical phenomena which might occur in high voltage (HV) equipment and can be used for diagnosing the condition of equipment. PD emits electromagnetic wave that can be detected by antenna device. Many types of ultra-high frequency (UHF) antenna have been developed to achieve a better sensitivity and accuracy in certain bandwidth (300 MHz–3.0 GHz) for detecting the UHF component generated by PD. This paper presents a new concept design of a small, easy to fabricate, 3-D cube antenna made of copper sheet as main material. Three antenna prototypes are proposed which operate at three different dominant frequencies, 1.46GHz, 2.26GHz and 2.82GHz. Each antenna prototype was designed with a three-dimension finite difference time domain (FDTD) simulation software (CTC Co.; MAGNA TDM version 8.3). Measurements of frequency dependence of return loss of thus designed antenna prototype were made with a vector network analyzer (VNA). PD measurement in electrode system including artificial PD source was also conducted to evaluate the performance of the developed antennas. In consideration of high frequency PD component, the experiment was using artificial PD object; needle-plane electrode 2mm gap and rod-plane electrode 0.2mm gap with 1m distance from the antenna prototype. Electromagnetic wave (EM) intensity and frequency captured by the antenna prototype then compared. It was found that the antenna prototype detected average PD magnitude value ranged in the order of 1500pC for the object PD source. Measurement of antenna prototype directivity is also examined and obtained a good agreement with the simulation result.","PeriodicalId":6529,"journal":{"name":"2018 Condition Monitoring and Diagnosis (CMD)","volume":"19 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82941313","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 : 2018-09-01DOI: 10.1109/CMD.2018.8535788
S. Boonsathitthavorn, N. Phumipunepon, P. Kitcharoen, N. Pattanadech
One of the non-destructive test methods commonly used to characterize the electrical properties of power equipment is polarization and depolarization current testing. The objective of this paper is to study of the change of dielectric properties during the manufacturing stages of a stator coil used in 6.6 kV 260 kW motor. There were five steps to manufacture the resin rich stator coil. The first step, the copper coil was wound around by NOMEX paper. Then the slot portion of the stator coil was wound by KREMICAL tape as the second process and by the conductive tape as the third process. Then, the insulation and conductive layer of the stator coil were pressed and cured at 160°C for one and a half hour as the fourth process. The pressing and curing will combine the multi insulation to be homogeneous insulation of the stator coil. The final step, the end winding portion was wounded by Filosam tape and polyester tape. The polarization and depolarization currents were measured and recorded after finishing each manufacturing process. From the test results, the polarization currents and depolarization currents obtained from each step were clearly different. Then the polarization and depolarization currents, conduction current and capacitance of the test results were analyzed and reported in this paper.
{"title":"Dielectric Properties of Resin Rich Stator Coil of High Voltage Motor during Processing","authors":"S. Boonsathitthavorn, N. Phumipunepon, P. Kitcharoen, N. Pattanadech","doi":"10.1109/CMD.2018.8535788","DOIUrl":"https://doi.org/10.1109/CMD.2018.8535788","url":null,"abstract":"One of the non-destructive test methods commonly used to characterize the electrical properties of power equipment is polarization and depolarization current testing. The objective of this paper is to study of the change of dielectric properties during the manufacturing stages of a stator coil used in 6.6 kV 260 kW motor. There were five steps to manufacture the resin rich stator coil. The first step, the copper coil was wound around by NOMEX paper. Then the slot portion of the stator coil was wound by KREMICAL tape as the second process and by the conductive tape as the third process. Then, the insulation and conductive layer of the stator coil were pressed and cured at 160°C for one and a half hour as the fourth process. The pressing and curing will combine the multi insulation to be homogeneous insulation of the stator coil. The final step, the end winding portion was wounded by Filosam tape and polyester tape. The polarization and depolarization currents were measured and recorded after finishing each manufacturing process. From the test results, the polarization currents and depolarization currents obtained from each step were clearly different. Then the polarization and depolarization currents, conduction current and capacitance of the test results were analyzed and reported in this paper.","PeriodicalId":6529,"journal":{"name":"2018 Condition Monitoring and Diagnosis (CMD)","volume":"90 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89960378","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}
partial discharge detection is an effective way for transformer condition monitoring, and thus different detection methods for partial discharge are developed. However, the fact is that there hasn't been a detection method that can solve all the problems so far. Every detection method has its advantages and limitations. To improve this problem, the paper introduces a united detection method based on ultra-high frequency (UHF) method, high-frequency method and ultrasonic method. It is validated by an experiment that a better performance in the partial discharge detection of transformer can be obtained by the united method compared to conventional detection methods. The common problems in partial discharge detection such as anti-interfere, pattern recognition, defects location and apparent charge measurement can be solved with the united detection technology effectively.
{"title":"Condition monitoring technology of transformer with multiple sensing methods united","authors":"Liang He, X. Zhang, Jiangrong Cheng, Xing Li, Dengwei Ding, Weidong Liu","doi":"10.1109/CMD.2018.8535921","DOIUrl":"https://doi.org/10.1109/CMD.2018.8535921","url":null,"abstract":"partial discharge detection is an effective way for transformer condition monitoring, and thus different detection methods for partial discharge are developed. However, the fact is that there hasn't been a detection method that can solve all the problems so far. Every detection method has its advantages and limitations. To improve this problem, the paper introduces a united detection method based on ultra-high frequency (UHF) method, high-frequency method and ultrasonic method. It is validated by an experiment that a better performance in the partial discharge detection of transformer can be obtained by the united method compared to conventional detection methods. The common problems in partial discharge detection such as anti-interfere, pattern recognition, defects location and apparent charge measurement can be solved with the united detection technology effectively.","PeriodicalId":6529,"journal":{"name":"2018 Condition Monitoring and Diagnosis (CMD)","volume":"152 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86039606","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}
Partial discharge (PD) signals are used for insulation diagnosis of switchgears. Transient earth voltage (TEV) sensors are studied to detect PD signals, since PD signals can be easily measured by attaching the sensor to a metal casing of the switchgear. As with sensing and denoising techniques, classifying techniques are also important to determine the types of defects causing PD for insulation diagnosis. In this paper, the Convolutional Neural Network (CNN) is introduced to classify the types of defects with the TEV sensor signals. Focusing on solid insulators, two types of artificial PD models were designed. The CNN classifier was trained and tested with data derived from these artificial PD models. In addition, that was also tested with data derived from an actual voltage transformer (VT) component to confirm capability of practical use. Also, the trained classifiers are investigated to confirm what features it obtains through the training by its partial derivatives.
{"title":"Partial Discharge Source Classification for Switchgears with Transient Earth Voltage Sensor Using Convolutional Neural Network","authors":"Kozo Banno, Yusuke Nakamura, Yuuki Fujii, Toshiya Takano","doi":"10.1109/CMD.2018.8535913","DOIUrl":"https://doi.org/10.1109/CMD.2018.8535913","url":null,"abstract":"Partial discharge (PD) signals are used for insulation diagnosis of switchgears. Transient earth voltage (TEV) sensors are studied to detect PD signals, since PD signals can be easily measured by attaching the sensor to a metal casing of the switchgear. As with sensing and denoising techniques, classifying techniques are also important to determine the types of defects causing PD for insulation diagnosis. In this paper, the Convolutional Neural Network (CNN) is introduced to classify the types of defects with the TEV sensor signals. Focusing on solid insulators, two types of artificial PD models were designed. The CNN classifier was trained and tested with data derived from these artificial PD models. In addition, that was also tested with data derived from an actual voltage transformer (VT) component to confirm capability of practical use. Also, the trained classifiers are investigated to confirm what features it obtains through the training by its partial derivatives.","PeriodicalId":6529,"journal":{"name":"2018 Condition Monitoring and Diagnosis (CMD)","volume":"4 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83482266","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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