Pub Date : 2018-09-01DOI: 10.1109/CMD.2018.8535711
Chanzwen Zhen, Zi-qiang Chen, Deyana Huanz
A novel sensor fault diagnosis method for Li-ion battery system is presented in this paper by using hybrid system modeling. Battery packs are often combined with hundreds of battery cells connected in series and parallel with a request of large number of current and voltage sensors. The fault diagnosis of sensors is essential for battery management system (BMS) to ensure normal operation of battery system. To implement the diagnosis of sensor faults, the battery system is modeled as a hybrid system through stochastic automata in the paper. Several discrete states are defined to describe normal and faulty states of the system. Combining with the prior discrete states transitions, unscented particle filter algorithm is applied for estimating the most likely discrete states of the system so as to output diagnosis results. The experimental verification is conducted through a parallel battery pack with voltage and current sensors to test the algorithm effectiveness and the diagnosis accuracy of the proposed approach under dynamic current cycles.
{"title":"A novel Sensor Fault Diagnosis method for Lithium-ion Battery System Using Hybrid System Modeling","authors":"Chanzwen Zhen, Zi-qiang Chen, Deyana Huanz","doi":"10.1109/CMD.2018.8535711","DOIUrl":"https://doi.org/10.1109/CMD.2018.8535711","url":null,"abstract":"A novel sensor fault diagnosis method for Li-ion battery system is presented in this paper by using hybrid system modeling. Battery packs are often combined with hundreds of battery cells connected in series and parallel with a request of large number of current and voltage sensors. The fault diagnosis of sensors is essential for battery management system (BMS) to ensure normal operation of battery system. To implement the diagnosis of sensor faults, the battery system is modeled as a hybrid system through stochastic automata in the paper. Several discrete states are defined to describe normal and faulty states of the system. Combining with the prior discrete states transitions, unscented particle filter algorithm is applied for estimating the most likely discrete states of the system so as to output diagnosis results. The experimental verification is conducted through a parallel battery pack with voltage and current sensors to test the algorithm effectiveness and the diagnosis accuracy of the proposed approach under dynamic current cycles.","PeriodicalId":6529,"journal":{"name":"2018 Condition Monitoring and Diagnosis (CMD)","volume":"16 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":"80580729","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.2018.8535820
Xi Zhu, Yalin Wang, Wenpeng Li, Y. Zhao, Jiandong Wu, Y. Yin, Qiaohua Wang
In order to investigate the electrical tree properties during the voltage rise and the influence of the tree defect on the tree propagation, the cross-linked polyethylene (XLPE) samples with different electrical tree defects which were generated by an AC stress were prepared and the voltage-regulating experiment is carried out. The typical needle plate was used where the tip radius of needle was 5µm and the distance between the needle tip and the sample bottom was about 1.5mm. The regulating voltage rose at a constant speed of 500V/ s for 10 seconds and maintained for 5 minutes. The progress was repeated until the electrical tree grew. After that the voltage was maintained at 30kV for 2 hours and then declined as the same regulation way. It was shown that the electrical tree grew remarkably at a typical branch shape during the voltage rise, while the tree had little change at DC voltage or declining voltage. As the tree defect length increases, the tree increment during the voltage rise decreases but the total tree increment over the experiment would increase. Space charge behavior around the tree tip would be applied to describe the tree characteristics at the rising DC voltage and DC voltage.
{"title":"Electrical Tree Growth in Polyethylene during the DC Voltage Rise and the Influence of the Tree Defect Size","authors":"Xi Zhu, Yalin Wang, Wenpeng Li, Y. Zhao, Jiandong Wu, Y. Yin, Qiaohua Wang","doi":"10.1109/CMD.2018.8535820","DOIUrl":"https://doi.org/10.1109/CMD.2018.8535820","url":null,"abstract":"In order to investigate the electrical tree properties during the voltage rise and the influence of the tree defect on the tree propagation, the cross-linked polyethylene (XLPE) samples with different electrical tree defects which were generated by an AC stress were prepared and the voltage-regulating experiment is carried out. The typical needle plate was used where the tip radius of needle was 5µm and the distance between the needle tip and the sample bottom was about 1.5mm. The regulating voltage rose at a constant speed of 500V/ s for 10 seconds and maintained for 5 minutes. The progress was repeated until the electrical tree grew. After that the voltage was maintained at 30kV for 2 hours and then declined as the same regulation way. It was shown that the electrical tree grew remarkably at a typical branch shape during the voltage rise, while the tree had little change at DC voltage or declining voltage. As the tree defect length increases, the tree increment during the voltage rise decreases but the total tree increment over the experiment would increase. Space charge behavior around the tree tip would be applied to describe the tree characteristics at the rising DC voltage and DC voltage.","PeriodicalId":6529,"journal":{"name":"2018 Condition Monitoring and Diagnosis (CMD)","volume":"1 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":"79887466","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.2018.8535875
S. Masuda, Tadahiro Fujimura, Y. Nakano, M. Kozako, M. Hikita, H. Haruyama, K. Miyazaki, Hideaki Sato, F. Aono
Cable joint in high voltage overhead transmission line connecting a pole transformer is one of the important accessories. Reliable diagnostic technique for possible insulation failures in cable joint due to the long-term operation and aging is required. The purpose of this research is to establish the insulation diagnostic technique for the cable joint by measuring partial discharge (PD), which is a precursor phenomenon of dielectric breakdown. In this paper, PD signals in three-phase high voltage overhead transmission lines with 6.6 kV cable joints, actually used in electric power company, were measured by using various sensors, i.e., high frequency current transformer (HFCT), monopole antenna, and transient earth voltage (TEV) sensor. As a result, it is shown that HFCT shows the highest sensitivity for PD detection among three kinds of sensors. It is also shown that the arrival time difference of the PD signals detected by several HFCTs enables to determine the PD source in neighboring two utility poles. Furthermore, the intensity and the polarity of first arrival part of the PD signals detected by several HFCTs enable to determine the PD source in a particular cable joint among the three ones in a utility pole.
{"title":"Discussion on Partial Discharge Measurement Technique of Cable Joint in Three Phase High Voltage Overhead Transmission Line","authors":"S. Masuda, Tadahiro Fujimura, Y. Nakano, M. Kozako, M. Hikita, H. Haruyama, K. Miyazaki, Hideaki Sato, F. Aono","doi":"10.1109/CMD.2018.8535875","DOIUrl":"https://doi.org/10.1109/CMD.2018.8535875","url":null,"abstract":"Cable joint in high voltage overhead transmission line connecting a pole transformer is one of the important accessories. Reliable diagnostic technique for possible insulation failures in cable joint due to the long-term operation and aging is required. The purpose of this research is to establish the insulation diagnostic technique for the cable joint by measuring partial discharge (PD), which is a precursor phenomenon of dielectric breakdown. In this paper, PD signals in three-phase high voltage overhead transmission lines with 6.6 kV cable joints, actually used in electric power company, were measured by using various sensors, i.e., high frequency current transformer (HFCT), monopole antenna, and transient earth voltage (TEV) sensor. As a result, it is shown that HFCT shows the highest sensitivity for PD detection among three kinds of sensors. It is also shown that the arrival time difference of the PD signals detected by several HFCTs enables to determine the PD source in neighboring two utility poles. Furthermore, the intensity and the polarity of first arrival part of the PD signals detected by several HFCTs enable to determine the PD source in a particular cable joint among the three ones in a utility pole.","PeriodicalId":6529,"journal":{"name":"2018 Condition Monitoring and Diagnosis (CMD)","volume":"57 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":"91346629","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.2018.8535677
Chenyu Zhao, Zongren Peng, Peng Liu, Naiyi Li, Shuo Wang
In this paper, a method using neural network for optimizing the grading ring of ±1100kV ultra-high voltage direct current (UHVDC) wall bushing is presented. Firstly, the finite element method (FEM) is applied to calculate the electric field distribution along hollow insulator surface with various pipe diameter, ring diameter and installation position of the grading ring and the optimal goal is set according to the FEM numerical results. Then the neural network model is built and trained with L- M algorithm using 300 sets of data calculated by the method of parametric scanning. Finally, the parameters of grading ring are optimized according to the neural network fitting results. The optimized grading ring uniforms the electric field distribution along the hollow insulator surface. This paper can provide a reference on structural design of UHVDC wall bushing.
{"title":"Optimization of Grading Ring for Resin Impregnated Paper UHVDC Wall Bushing Using Neural Network Method","authors":"Chenyu Zhao, Zongren Peng, Peng Liu, Naiyi Li, Shuo Wang","doi":"10.1109/CMD.2018.8535677","DOIUrl":"https://doi.org/10.1109/CMD.2018.8535677","url":null,"abstract":"In this paper, a method using neural network for optimizing the grading ring of ±1100kV ultra-high voltage direct current (UHVDC) wall bushing is presented. Firstly, the finite element method (FEM) is applied to calculate the electric field distribution along hollow insulator surface with various pipe diameter, ring diameter and installation position of the grading ring and the optimal goal is set according to the FEM numerical results. Then the neural network model is built and trained with L- M algorithm using 300 sets of data calculated by the method of parametric scanning. Finally, the parameters of grading ring are optimized according to the neural network fitting results. The optimized grading ring uniforms the electric field distribution along the hollow insulator surface. This paper can provide a reference on structural design of UHVDC wall bushing.","PeriodicalId":6529,"journal":{"name":"2018 Condition Monitoring and Diagnosis (CMD)","volume":"91 3 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":"89849071","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.2018.8535611
Yan-Oin Liu, Kefeng Li, Xiao-Feng Fan, Xiang-Yu Liu, Han Wang, Jun-bo Deng
When metal particle is attached on the surface of spacer, it will affect the surface charge accumulation and electric field, and reduce the surface insulating level of insulators. Therefore, it is important to research the relationship between attachment of metal particle and surface charge accumulation. In this paper, the influence of metal particle on surface charge accumulation characteristics of spacer in 5atm 20 % SF6/N 2is researched. In the experiment, a cylindrical copper wire of 0.5mm diameter and variable length is fixed on the surface of a downsized truncated cone-type spacer, and one end of this wire is in contact with the high voltage electrode. A lightning impulse voltage with different amplitudes is applied to the central electrode for 5 times, then the surface potential of spacer is measured by a Kelvin vibrating electrostatic probe, and the corresponding surface charge density is further calculated by a reversed algorithm. The results reveal under lightning impulse voltage there are just bipolar charges around the metal particles and random charges existing. When the metal particle is over 5mm, a randomly distributed charge will result in a decrease in the amount of accumulated charge near the metal particles. In addition, the amount of bipolar charge accumulated near the metal particles increases with the increase of the applied voltage amplitude, and the accumulating range of the homo-charges at the ends of the metal particles increases as the applied voltage amplitude increases.
{"title":"Influence of Metal Particles on Surface Charge Accumulation Characteristics of Spacer in SF6/N2Mixtures under Impulse Voltage","authors":"Yan-Oin Liu, Kefeng Li, Xiao-Feng Fan, Xiang-Yu Liu, Han Wang, Jun-bo Deng","doi":"10.1109/CMD.2018.8535611","DOIUrl":"https://doi.org/10.1109/CMD.2018.8535611","url":null,"abstract":"When metal particle is attached on the surface of spacer, it will affect the surface charge accumulation and electric field, and reduce the surface insulating level of insulators. Therefore, it is important to research the relationship between attachment of metal particle and surface charge accumulation. In this paper, the influence of metal particle on surface charge accumulation characteristics of spacer in 5atm 20 % SF6/N 2is researched. In the experiment, a cylindrical copper wire of 0.5mm diameter and variable length is fixed on the surface of a downsized truncated cone-type spacer, and one end of this wire is in contact with the high voltage electrode. A lightning impulse voltage with different amplitudes is applied to the central electrode for 5 times, then the surface potential of spacer is measured by a Kelvin vibrating electrostatic probe, and the corresponding surface charge density is further calculated by a reversed algorithm. The results reveal under lightning impulse voltage there are just bipolar charges around the metal particles and random charges existing. When the metal particle is over 5mm, a randomly distributed charge will result in a decrease in the amount of accumulated charge near the metal particles. In addition, the amount of bipolar charge accumulated near the metal particles increases with the increase of the applied voltage amplitude, and the accumulating range of the homo-charges at the ends of the metal particles increases as the applied voltage amplitude increases.","PeriodicalId":6529,"journal":{"name":"2018 Condition Monitoring and Diagnosis (CMD)","volume":"61 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":"84572209","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.2018.8535700
S. Thakur, R. Sarathi
Ester Oil has been most commonly suggested as an alternative transformer oil insulation owing to its higher biodegradability and excellent dielectric and thermal properties. Development of nanofluids based on ester oil is considered as the future of insulating fluids which hold great potential to enhance the design aspect of high voltage apparatus. In the current study effect of SiO2 on dielectric properties of natural ester oil has been studied. Based on various electrical analysis, an attempt has been made to identify the optimum concentration of nanoparticles in terms of volume concentration. In order to enhance dispersion and improve surface properties, CTAB has been chosen as a surfactant and its optimum concentration with respect to nanofluid has been established. Corona Inception Voltage (CIV) results indicate that beyond a certain value, addition of nanoparticles can degrade the dielectric properties of oil. These results are further confirmed by testing the Levitation Voltage of the particle in the electrode gap. It is realized that incipient discharges due to corona/particle movement can radiate electro-magnetic waves with its frequency lying in Ultra High Frequency (UHF) signal range. It is observed that the bandwidth of the radiated signal lies in the frequency range of 0.7-2 GHz, with its dominant frequency at 0.9 GHz. It was observed that the number of discharges caused due to corona/particle movement are less for the identified optimum concentration of nano SiO2 in transformer oil. It has been observed that the number of discharges is higher for AC voltage than DC voltage, due to particle movement.
{"title":"Understanding incipient discharge characteristics in nano ester oil under AC/DC voltages adopting UHF technique","authors":"S. Thakur, R. Sarathi","doi":"10.1109/CMD.2018.8535700","DOIUrl":"https://doi.org/10.1109/CMD.2018.8535700","url":null,"abstract":"Ester Oil has been most commonly suggested as an alternative transformer oil insulation owing to its higher biodegradability and excellent dielectric and thermal properties. Development of nanofluids based on ester oil is considered as the future of insulating fluids which hold great potential to enhance the design aspect of high voltage apparatus. In the current study effect of SiO2 on dielectric properties of natural ester oil has been studied. Based on various electrical analysis, an attempt has been made to identify the optimum concentration of nanoparticles in terms of volume concentration. In order to enhance dispersion and improve surface properties, CTAB has been chosen as a surfactant and its optimum concentration with respect to nanofluid has been established. Corona Inception Voltage (CIV) results indicate that beyond a certain value, addition of nanoparticles can degrade the dielectric properties of oil. These results are further confirmed by testing the Levitation Voltage of the particle in the electrode gap. It is realized that incipient discharges due to corona/particle movement can radiate electro-magnetic waves with its frequency lying in Ultra High Frequency (UHF) signal range. It is observed that the bandwidth of the radiated signal lies in the frequency range of 0.7-2 GHz, with its dominant frequency at 0.9 GHz. It was observed that the number of discharges caused due to corona/particle movement are less for the identified optimum concentration of nano SiO2 in transformer oil. It has been observed that the number of discharges is higher for AC voltage than DC voltage, due to particle movement.","PeriodicalId":6529,"journal":{"name":"2018 Condition Monitoring and Diagnosis (CMD)","volume":"24 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":"84441215","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.2018.8535663
Shantanu Kumar, N. Das, S. Islam
High speed communication is an essential feature of Substation Automation and Control. Existing International Electro-technical Commission (IEC) 61850 guidelines substation automation and communication systems have few shortcomings in the protection architecture which necessitated an upgrade to another guideline. This has been addressed better in IEC 62439–3 standard encompassing Parallel Redundancy Protocol (PRP) and High-availability Seamless Redundancy (HSR), Earlier there have been number of issues with IEC 61850, due to single port failure, data losses and interoperability related to multi-vendor equipment. The enhanced features of a Double Attached Node component based on IEC 62439–3, provide redundancy in protection by virtue of having two active frames circulating in the ring. These frames send out copies in the ring. Should one of them be lost, the destination node will receive alternate frame, ensuring flawless data transfer at a significant faster speed in a multi-vendor equipment ensuring the circuit is fault resilient. PRP and HSR topologies promise enhanced reliability over IEC 61850 standard due to faster processing capabilities, increased availability in the scheme with least delay time in circulating data packet in wireless communication in the network. This paper exhibit performance of PRP and HSR topologies addressing redundancy within the network ring leveraging on IEC 62439–3.
{"title":"Implementing PRP and HSR Schemes in a HV Substation based on IEC62439-3","authors":"Shantanu Kumar, N. Das, S. Islam","doi":"10.1109/CMD.2018.8535663","DOIUrl":"https://doi.org/10.1109/CMD.2018.8535663","url":null,"abstract":"High speed communication is an essential feature of Substation Automation and Control. Existing International Electro-technical Commission (IEC) 61850 guidelines substation automation and communication systems have few shortcomings in the protection architecture which necessitated an upgrade to another guideline. This has been addressed better in IEC 62439–3 standard encompassing Parallel Redundancy Protocol (PRP) and High-availability Seamless Redundancy (HSR), Earlier there have been number of issues with IEC 61850, due to single port failure, data losses and interoperability related to multi-vendor equipment. The enhanced features of a Double Attached Node component based on IEC 62439–3, provide redundancy in protection by virtue of having two active frames circulating in the ring. These frames send out copies in the ring. Should one of them be lost, the destination node will receive alternate frame, ensuring flawless data transfer at a significant faster speed in a multi-vendor equipment ensuring the circuit is fault resilient. PRP and HSR topologies promise enhanced reliability over IEC 61850 standard due to faster processing capabilities, increased availability in the scheme with least delay time in circulating data packet in wireless communication in the network. This paper exhibit performance of PRP and HSR topologies addressing redundancy within the network ring leveraging on IEC 62439–3.","PeriodicalId":6529,"journal":{"name":"2018 Condition Monitoring and Diagnosis (CMD)","volume":"26 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":"82477259","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.2018.8535675
Taufik Rossal Sukma, U. Khayam, Suwarno, Ryouya Sugawara, Hina Yoshikawa, M. Kozako, M. Hikita, Osamu Eda, Masanori Otsuka, Hiroshi Kaneko, Yasuharu Shiina
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 the equipment. Artificial neural network (ANN) is then utilized to classify PD source in HV equipment. PD measurements were conducted to generate waveform parameters in laboratory using four kinds of artificial PD sources, three kinds of noise sources by three kinds of sensors (transient earth voltage (TEV) sensor, surface current sensor (SCS) and high frequency current transformer (HFCT)). Nine waveform parameters from one PD event were used for training and testing the ANN (ANN_ WP). For further comparison, phase-resolved partial discharge (PRPD) pattern was also generated and used as input data for training and testing the other ANN (ANN_PR). Results reveal that ANN_ WP provides >96% of recognition rate while ANN_PR gives >90% of recognition rate. Furthermore, the ANNs are then tested using new different artificial void defect. The results show that the ANN_ WP predicted new PD data as void defect with 92 % probability while the ANN_PR prediction probability was found 96%. These results indicate that the waveform parameters can be used as an input data for ANN as well as PRPD pattern to provide sufficient accuracy for identifying the PD source. The results suggest a possibility that developed ANNs can be used as a decision-support tool in HV equipment diagnosis by comparing PD data obtained in the field.
{"title":"Classification of Partial Discharge Sources using Waveform Parameters and Phase-Resolved Partial Discharge Pattern as Input for the Artificial Neural Network","authors":"Taufik Rossal Sukma, U. Khayam, Suwarno, Ryouya Sugawara, Hina Yoshikawa, M. Kozako, M. Hikita, Osamu Eda, Masanori Otsuka, Hiroshi Kaneko, Yasuharu Shiina","doi":"10.1109/CMD.2018.8535675","DOIUrl":"https://doi.org/10.1109/CMD.2018.8535675","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 the equipment. Artificial neural network (ANN) is then utilized to classify PD source in HV equipment. PD measurements were conducted to generate waveform parameters in laboratory using four kinds of artificial PD sources, three kinds of noise sources by three kinds of sensors (transient earth voltage (TEV) sensor, surface current sensor (SCS) and high frequency current transformer (HFCT)). Nine waveform parameters from one PD event were used for training and testing the ANN (ANN_ WP). For further comparison, phase-resolved partial discharge (PRPD) pattern was also generated and used as input data for training and testing the other ANN (ANN_PR). Results reveal that ANN_ WP provides >96% of recognition rate while ANN_PR gives >90% of recognition rate. Furthermore, the ANNs are then tested using new different artificial void defect. The results show that the ANN_ WP predicted new PD data as void defect with 92 % probability while the ANN_PR prediction probability was found 96%. These results indicate that the waveform parameters can be used as an input data for ANN as well as PRPD pattern to provide sufficient accuracy for identifying the PD source. The results suggest a possibility that developed ANNs can be used as a decision-support tool in HV equipment diagnosis by comparing PD data obtained in the field.","PeriodicalId":6529,"journal":{"name":"2018 Condition Monitoring and Diagnosis (CMD)","volume":"15 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":"83438227","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.2018.8535897
Shiiun Li, Liuqing Yang, W. Yan, H. Cui, Zhao Ge, Shengtao Li
Transformer life management has gained remarkable recognition due to its crucial role for safe operation of the power grid. Since transformer life is dominated by insulating state of its oil-paper insulation, the DP value has been traditionally regarded as the primary indicator. However, the DP sampling procedure is destructible and inconvenient. In this paper, we present an effective principal component regression method to assess the insulating state of oil-paper through indirectly estimating the degree of polymerization based on the aging characteristic parameter in oil. Thermal aging experiments were firstly conducted on palm oil and mineral oil impregnated paper, respectively. After aging experiments, aging characteristic parameters of oil were tested, including moisture, acidity, 2-furan, surface tension, dissolved gas-in-oil analysis, methanol, and ethanol. Principal component regression method was then performed to find the principal component and build a relationship between the degree of polymerization and the aging characteristic parameters of oil. After computation, the estimation of degree of polymerization value can be obtained with a high goodness of fitting, which is 0.92 and 0.78 for mineral oil and palm oil impregnated paper respectively. The estimation could be improved by data processing.
{"title":"An effective principal component regression method for transformer life management based on indirect parameters","authors":"Shiiun Li, Liuqing Yang, W. Yan, H. Cui, Zhao Ge, Shengtao Li","doi":"10.1109/CMD.2018.8535897","DOIUrl":"https://doi.org/10.1109/CMD.2018.8535897","url":null,"abstract":"Transformer life management has gained remarkable recognition due to its crucial role for safe operation of the power grid. Since transformer life is dominated by insulating state of its oil-paper insulation, the DP value has been traditionally regarded as the primary indicator. However, the DP sampling procedure is destructible and inconvenient. In this paper, we present an effective principal component regression method to assess the insulating state of oil-paper through indirectly estimating the degree of polymerization based on the aging characteristic parameter in oil. Thermal aging experiments were firstly conducted on palm oil and mineral oil impregnated paper, respectively. After aging experiments, aging characteristic parameters of oil were tested, including moisture, acidity, 2-furan, surface tension, dissolved gas-in-oil analysis, methanol, and ethanol. Principal component regression method was then performed to find the principal component and build a relationship between the degree of polymerization and the aging characteristic parameters of oil. After computation, the estimation of degree of polymerization value can be obtained with a high goodness of fitting, which is 0.92 and 0.78 for mineral oil and palm oil impregnated paper respectively. The estimation could be improved by data processing.","PeriodicalId":6529,"journal":{"name":"2018 Condition Monitoring and Diagnosis (CMD)","volume":"8 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":"88053252","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.2018.8535777
M. A. Azirani, M. Kuhnke, P. Werle, W. Sorgatz
Transformer faults, depending on their nature, lead to decomposition of the insulating liquid or cellulose paper. In this process, dissolved fault gases are produced. Through Dissolved Gas Analysis (DGA) by means of gas chromatography, the gas mixture produced by the fault can be separated to its constituent gas elements. The concentration as well as the type of the gas is of interest in the evaluation of these key gases. Hermetically sealed oil filled power transformers are manufactured with a sealed and gastight tank that prevents any contact between the insulating liquid and ambient air. A gas cushion, usually compressed nitrogen or dry air, is maintained above the liquid. Therefore, the electrical properties of insulation liquid are not exposed to further aging factors, ensuring a longer life span of the transformer. In case of severe faults, generation of considerable amount of fault gases is expected, which will, in case of hermetically sealed power transformers, gradually escape from the insulating liquid and diffuse into the gas cushion. As a cost-effective and compact alternative to gas chromatography, the development of a semiconductor-based online monitoring system of undissolved fault gases is presented. The proposed monitoring system is based on a set of integrated sensors, tracking the concentration of fault gases in the gas cushion continuously, through which faults in the insulating system can be detected early. Furthermore, physical parameters such as temperature, pressure, and humidity are also recorded permanently.
{"title":"Online Fault Gas Monitoring System for Hermetically Sealed Power Transformers","authors":"M. A. Azirani, M. Kuhnke, P. Werle, W. Sorgatz","doi":"10.1109/CMD.2018.8535777","DOIUrl":"https://doi.org/10.1109/CMD.2018.8535777","url":null,"abstract":"Transformer faults, depending on their nature, lead to decomposition of the insulating liquid or cellulose paper. In this process, dissolved fault gases are produced. Through Dissolved Gas Analysis (DGA) by means of gas chromatography, the gas mixture produced by the fault can be separated to its constituent gas elements. The concentration as well as the type of the gas is of interest in the evaluation of these key gases. Hermetically sealed oil filled power transformers are manufactured with a sealed and gastight tank that prevents any contact between the insulating liquid and ambient air. A gas cushion, usually compressed nitrogen or dry air, is maintained above the liquid. Therefore, the electrical properties of insulation liquid are not exposed to further aging factors, ensuring a longer life span of the transformer. In case of severe faults, generation of considerable amount of fault gases is expected, which will, in case of hermetically sealed power transformers, gradually escape from the insulating liquid and diffuse into the gas cushion. As a cost-effective and compact alternative to gas chromatography, the development of a semiconductor-based online monitoring system of undissolved fault gases is presented. The proposed monitoring system is based on a set of integrated sensors, tracking the concentration of fault gases in the gas cushion continuously, through which faults in the insulating system can be detected early. Furthermore, physical parameters such as temperature, pressure, and humidity are also recorded permanently.","PeriodicalId":6529,"journal":{"name":"2018 Condition Monitoring and Diagnosis (CMD)","volume":"1 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":"90360989","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：