2021 IEEE International Conference on the Properties and Applications of Dielectric Materials (ICPADM)最新文献_第3页

Research on Aging Performance and Mechanism Analysis of Cross-linked Polyethylene Wire and Cable Materials 交联聚乙烯电线电缆材料老化性能研究及机理分析

2021 IEEE International Conference on the Properties and Applications of Dielectric Materials (ICPADM) Pub Date : 2021-07-12 DOI: 10.1109/ICPADM49635.2021.9493966

Tian Chongjun, Daolin Ye, W. Xing

{"title":"Research on Aging Performance and Mechanism Analysis of Cross-linked Polyethylene Wire and Cable Materials","authors":"Tian Chongjun, Daolin Ye, W. Xing","doi":"10.1109/ICPADM49635.2021.9493966","DOIUrl":"https://doi.org/10.1109/ICPADM49635.2021.9493966","url":null,"abstract":"Cross-linked Polyethylene (XLPE) shows excellent insulation performance and heat resistance, resulted to widely using in various wire and cable materials. Due to the extensive using of XLPE, the anti-aging performance of XLPE has attracted a lot of attention. In this paper, the different effects of thermal aging and xenon lamp aging on the material surface are studied. Fourier Transform Infrared and Pyrolysis-Gas chromatography-mass spectrometry were used to analyze the aging mechanism of XLPE. Tensile test, Volume Resistivity test and Surface Resistivity test are used to evaluate the mechanical and electric properties, respectively. The results can be summarized as: (a) The volume resistivity of XLPE was still higher than 1014 Ω·M after 14 days of high temperature thermal aging. (b) The molecular chain broken of XLPE occurs on the surface first. (c) Xenon lamp aging results show that free radical reactions induced by light promote the degradation of XLPE. (d) After Xenon lamp aging, XLPE macromolecular chain break into relatively uniform small molecular alkanes. The results could provide practical and theoretical support for the production and application of XLPE.","PeriodicalId":191189,"journal":{"name":"2021 IEEE International Conference on the Properties and Applications of Dielectric Materials (ICPADM)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131222526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

DC Leakage Current Measurements: Contribution for the Qualification of extruded MVAC Cables for DC Operation 直流泄漏电流测量:对直流操作挤压MVAC电缆合格评定的贡献

2021 IEEE International Conference on the Properties and Applications of Dielectric Materials (ICPADM) Pub Date : 2021-07-12 DOI: 10.1109/ICPADM49635.2021.9493963

P. Ratheiser, U. Schichler

引用次数: 3

Fault diagnosis of the external insulation infrared images based on Mask Region convolutional neural network and perceptual hash joint algorithm 基于掩模区域卷积神经网络和感知哈希联合算法的外绝缘红外图像故障诊断

2021 IEEE International Conference on the Properties and Applications of Dielectric Materials (ICPADM) Pub Date : 2021-07-12 DOI: 10.1109/ICPADM49635.2021.9493961

Wen-xian Tang, Bingjie Wu, W. Lu, Wenbin Zhao, Long Li, Hua Yin

{"title":"Fault diagnosis of the external insulation infrared images based on Mask Region convolutional neural network and perceptual hash joint algorithm","authors":"Wen-xian Tang, Bingjie Wu, W. Lu, Wenbin Zhao, Long Li, Hua Yin","doi":"10.1109/ICPADM49635.2021.9493961","DOIUrl":"https://doi.org/10.1109/ICPADM49635.2021.9493961","url":null,"abstract":"Recently, infrared technology is increasingly used in condition monitoring of external insulations, e.g., bushing, reactor and potential and current transformers in substation. Even through the infrared technology can detect the failures of external insulation due to overheating in fast response time. However, the massive infrared images need to be manually analyzed by human for fault classification, which is a very time and consuming task. There are also technical trials in applying intelligent image recognitions technology for sorting out infrared images, but these smart technologies are mainly based on machine learning framework suitable for shape recognition and only very few types of faults can be automatically figured out. In this paper, an improved automatic fault diagnosis method was designed based on Mask Region convolutional neural network (Mask R-CNN) for infrared image segmentation combined with perceptual hash algorithm for fault characteristic recognition. This intelligent method consists of three steps, i.e., the normalization of infrared images according to grayscale, the fault region detection of infrared images by using Mask R-CNN and the collection of fault spectrum through the similarity recognition by perceptual hash. With the proposed joint algorithm on infrared images for external insulation with condition in known, it is confirmed that the accuracy of fault recognition reaches more than 90%. This automatic fault detection algorithm provides a desirable solution for the field application of infrared image-based diagnosis for external insulations.","PeriodicalId":191189,"journal":{"name":"2021 IEEE International Conference on the Properties and Applications of Dielectric Materials (ICPADM)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133308848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Anti-electrostatic electric discharge performance of ZnO/Silicone rubber composite with nonlinear conductivity 非线性导电ZnO/硅橡胶复合材料的防静电放电性能

2021 IEEE International Conference on the Properties and Applications of Dielectric Materials (ICPADM) Pub Date : 2021-07-12 DOI: 10.1109/ICPADM49635.2021.9493952

Ya Sun, Jun Hu, Zhikang Yuan

{"title":"Anti-electrostatic electric discharge performance of ZnO/Silicone rubber composite with nonlinear conductivity","authors":"Ya Sun, Jun Hu, Zhikang Yuan","doi":"10.1109/ICPADM49635.2021.9493952","DOIUrl":"https://doi.org/10.1109/ICPADM49635.2021.9493952","url":null,"abstract":"With rapid improvement of the integration level of electronic products, the electrostatic discharge capacity of the electronic components gradually decreases and finally become electrostatic sensitive devices. Due to their non-linear characteristics of conductance and dielectric, non-linear composite materials are expected to play a significant role in anti-static electronic devices. In this paper, ZnO/silicone rubber non-linear composite material was prepared. The non-linear conductivity was characterized by a source meter. According to IEC 61000-4-2, the study compared the discharge performance of ZnO/silicone rubber composite film, silicon rubber film and copper film. The results of the experiment reflect that the non-linear composite film can reduce the electrostatic voltage from 0.67 kV to 0 within 1μs. The silicone rubber film was able to reduce the electrostatic voltage from 4 kV to 0 within 100 ms. The copper film can reduce the electrostatic voltage from 3.2 kV to 0 within 100 ns. ZnO/silicone rubber composites with non-linear conductivity show promising prospect on anti-electrostatic discharge in electronic devices considering the discharge speed and electromagnetic effect.","PeriodicalId":191189,"journal":{"name":"2021 IEEE International Conference on the Properties and Applications of Dielectric Materials (ICPADM)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131887536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Investigation on the Relationship between Failure Rates and Health Index of Distribution Transformer Population 配电变压器总体故障率与健康指数关系的研究

2021 IEEE International Conference on the Properties and Applications of Dielectric Materials (ICPADM) Pub Date : 2021-07-12 DOI: 10.1109/ICPADM49635.2021.9493977

N. Shariffuddin, N. Azis, A. Selva, M. Yahaya, J. Jasni, M. Talib

{"title":"Investigation on the Relationship between Failure Rates and Health Index of Distribution Transformer Population","authors":"N. Shariffuddin, N. Azis, A. Selva, M. Yahaya, J. Jasni, M. Talib","doi":"10.1109/ICPADM49635.2021.9493977","DOIUrl":"https://doi.org/10.1109/ICPADM49635.2021.9493977","url":null,"abstract":"In this paper, a study is carried out to investigate the relationship between failure rate and Health Index (HI) of the transformer population based on condition monitoring information. In total, 3192 oil samples from 370 transformers with age ranging from 1 to 25 years were analysed in this study. First, the HI and failure rate of transformer was computed based on yearly individual condition monitoring data of the oil samples. Several parameters were measured such as oil quality, dissolved gases, furanic compounds and age. The HI of transformers was determined based on scoring and weighting method while the failure rate of transformer was determined based on relative risk method. Next, the average HI and failure rate for each age was computed and the relationship between the HI and failure rate were obtained based on two-parameter exponential function model. Based on the study, it is found that there is a relationship between failure rate and HI of the transformer population. The failure rate increases almost exponentially as the HI decreases to around 55%.","PeriodicalId":191189,"journal":{"name":"2021 IEEE International Conference on the Properties and Applications of Dielectric Materials (ICPADM)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114639081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Classification of Partial Discharges in Insulation Materials via Support Vector Machine and Discrete Wavelet Transform 基于支持向量机和离散小波变换的绝缘材料局部放电分类

2021 IEEE International Conference on the Properties and Applications of Dielectric Materials (ICPADM) Pub Date : 2021-07-12 DOI: 10.1109/ICPADM49635.2021.9493984

H. Illias, Neoh Ying Ting, Ong Zhen Yu, M. Kando, A. M. Ariffin, Mohd Fairouz Mohd Yousof

{"title":"Classification of Partial Discharges in Insulation Materials via Support Vector Machine and Discrete Wavelet Transform","authors":"H. Illias, Neoh Ying Ting, Ong Zhen Yu, M. Kando, A. M. Ariffin, Mohd Fairouz Mohd Yousof","doi":"10.1109/ICPADM49635.2021.9493984","DOIUrl":"https://doi.org/10.1109/ICPADM49635.2021.9493984","url":null,"abstract":"Long term partial discharges (PDs) within an insulation material of high voltage equipment can cause equipment failure. Thus, it is important to detect PDs within the insulation material and classify the PD type with high accuracy so that repair and maintenance can be performed effectively. In this work, three different types of PD, which include internal, surface and corona discharges, are measured from insulation materials. To evaluate the effect of noise on the PD measurement data, different levels of Additive White Gaussian Noise were added to the signals. Then, feature extractions were performed from the PD signals using Discrete Wavelet Transform (DWT). Different types of DWT families were used for feature extraction. The extracted features were then fed into support vector machine (SVM) for training and testing purposes. The classification accuracy of each test was recorded and compared. It was found that classification of PD signals using SVM as a classifier and DWT as a feature extraction yields reasonable classification accuracy results under different noise levels, which is in the range of 90%-99%.","PeriodicalId":191189,"journal":{"name":"2021 IEEE International Conference on the Properties and Applications of Dielectric Materials (ICPADM)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114596372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Physicochemical Characteristics and Basic Properties of the Fluorinated BOPP Surface Layer and its Effect on Dielectric Strength 氟化BOPP表面层的理化特性、基本性质及其对介电强度的影响

2021 IEEE International Conference on the Properties and Applications of Dielectric Materials (ICPADM) Pub Date : 2021-07-12 DOI: 10.1109/ICPADM49635.2021.9493987

Xin Wang, Z. An, Yanming Qin

引用次数: 2

Classification of Salt Fog Aged Silicone Rubber Micro Nanocomposites Through PCA Assisted LIBS 盐雾老化硅橡胶微纳复合材料的PCA辅助LIBS分类

2021 IEEE International Conference on the Properties and Applications of Dielectric Materials (ICPADM) Pub Date : 2021-07-12 DOI: 10.1109/ICPADM49635.2021.9493934

C. Naresh, P. Vinod, R. Jayaganthan, S. Kornhuber, S. R.

引用次数: 1

Hydrophobicity and Surface Microstructure Changing Regulations of HTV Silicone Rubber Under Corona Accelerated Aging 高温硅橡胶在电晕加速老化下的疏水性及表面微观结构变化规律

2021 IEEE International Conference on the Properties and Applications of Dielectric Materials (ICPADM) Pub Date : 2021-07-12 DOI: 10.1109/ICPADM49635.2021.9494000

Ya-Chi Peng, Chenxu Wang, Guanjun Zhang

引用次数: 1

2021 IEEE International Conference on the Properties and Applications of Dielectric Materials (ICPADM) Pub Date : 2021-07-12 DOI: 10.1109/ICPADM49635.2021.9493927

Ammar Salah Mahdi, Z. Abdul-Malek, A. Naderipour, S. Ishak, Mohd Nur Khaidir Bin Hussein

{"title":"Trending of SF6 Decomposition By-Products Characteristics Under Artificially Induced PD in GIS","authors":"Ammar Salah Mahdi, Z. Abdul-Malek, A. Naderipour, S. Ishak, Mohd Nur Khaidir Bin Hussein","doi":"10.1109/ICPADM49635.2021.9493927","DOIUrl":"https://doi.org/10.1109/ICPADM49635.2021.9493927","url":null,"abstract":"This work aims to study the decomposition of Sulfur Hexafluoride (SF6) and describe the energy of partial discharge (PD). It is also aimed to identify feature or key gases generated under the activity of discharge induced by artificially introduced insulation defects. Different configurations of four types of defects were used in the discharge chamber, and the analysis of decomposition components were employed to detect the PD. The variation of decomposition by-products along the stress duration under different levels of PD energy were studied, and key gases generated under each type of defect have been proposed. A series of experiments have been conducted using experimental platform including testing equipment, discharge chamber and PD measurement equipment. The applied voltage was gradually increased beyond the PD inception voltage after each sampling throughout the energisation duration to study the correlation of discharge energy with concentration and amount of generated products. Decomposition by-products, detected using Fourier transform infrared spectroscopy (FTIR), have been analyzed to reveal the relationship with the energy of PD. Results have shown that products such as SO2F2, SOF2, CO2 and C3F8 were generated by some defect configurations at different rates, and sulfur-containing products are more stable and correlated with the PD level. Analyses of the characteristics of decomposition by-products can be used to effectively assess the condition of SF6 gas insulated equipment (GIE).","PeriodicalId":191189,"journal":{"name":"2021 IEEE International Conference on the Properties and Applications of Dielectric Materials (ICPADM)","volume":"10 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129988108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1