2013 IEEE 1st International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)最新文献_第6页

A new combined crypto-watermarking technique using RSA algorithm and discrete cosine transform to retrieve embedded EPR from noisy bio-medical images 利用RSA算法和离散余弦变换的组合加密水印技术从噪声生物医学图像中检索嵌入的EPR

2013 IEEE 1st International Conference on Condition Assessment Techniques in Electrical Systems (CATCON) Pub Date : 2013-12-01 DOI: 10.1109/CATCON.2013.6737529

K. Pal, Subha Koley, G. Ghosh, M. Bhattacharya

引用次数: 8

Condition assessment of transformer by park's vector and symmetrical components to detect inter turn fault 利用park矢量和对称分量进行变压器状态评估，检测匝间故障

2013 IEEE 1st International Conference on Condition Assessment Techniques in Electrical Systems (CATCON) Pub Date : 2013-12-01 DOI: 10.1109/CATCON.2013.6737491

P. A. Venikar, M. Ballal, B. Umre, H. Suryawanshi

引用次数: 7

Modelling of fuzzy logic controller for variable-step MPPT in photovoltaic system 光伏系统变步长MPPT模糊控制器建模

2013 IEEE 1st International Conference on Condition Assessment Techniques in Electrical Systems (CATCON) Pub Date : 2013-12-01 DOI: 10.1109/CATCON.2013.6737524

C. Roy, D. Vijaybhaskar, T. Maity

引用次数: 15

Performance of high voltage protection cards used in digital telephone exchanges 数字电话交换机用高压保护卡的性能

2013 IEEE 1st International Conference on Condition Assessment Techniques in Electrical Systems (CATCON) Pub Date : 2013-12-01 DOI: 10.1109/CATCON.2013.6737485

B. S. Reddy, A. Verma, Sanjeevan Palit, Anwesha Panda

引用次数: 1

Characterstics of stator inductances with intertum fault in PMBLDC motor using winding function approach 用绕组函数法分析PMBLDC电机间故障时定子电感特性

2013 IEEE 1st International Conference on Condition Assessment Techniques in Electrical Systems (CATCON) Pub Date : 2013-12-01 DOI: 10.1109/CATCON.2013.6737487

S. K. Pradhan, R. Srivastava

引用次数: 5

Wavelet transform based error detection in signal acquired from artillery unit 基于小波变换的炮兵部队采集信号误差检测

2013 IEEE 1st International Conference on Condition Assessment Techniques in Electrical Systems (CATCON) Pub Date : 2013-12-01 DOI: 10.1109/CATCON.2013.6737506

B. Pradhan, S. Aria, G. K. Sahoo, D. K. Jena, S. Patraa, R. Appavuraj

{"title":"Wavelet transform based error detection in signal acquired from artillery unit","authors":"B. Pradhan, S. Aria, G. K. Sahoo, D. K. Jena, S. Patraa, R. Appavuraj","doi":"10.1109/CATCON.2013.6737506","DOIUrl":"https://doi.org/10.1109/CATCON.2013.6737506","url":null,"abstract":"In real time environment, noise often embeds with the signal during data acquisition process. Error detection will be difficult task when signals are corrupted with noise. Therefore, noise removal is the first step towards the detection of error in signal acquired from artillery unit. In this work, wavelet based signal enhancement technique is proposed to remove the noise from acquired signal. Doubechies wavelet with order 1 is used to decompose the signal up to four levels. Empirically chosen thresholds are applied in each detail coefficient and the denoised signal is reconstructed using the approximation coefficient and threshold detail coefficients. To detect the error, Doubechies wavelet with order 6 is applied to decompose the enhanced signal up to four-level. Each detail coefficient represents the distortion if original signal is erroneous. The proposed method is tested by means of signal to noise ratio, average power and spectrogram analysis. Experimental results show that the performance of the proposed method is consistently well at different SNR both off line testing and online testing, and also able to detect the error properly.","PeriodicalId":290479,"journal":{"name":"2013 IEEE 1st International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114977522","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

Analysis of partial discharge signals in 420 kv gas insulated substation 420千伏气体绝缘变电站局部放电信号分析

2013 IEEE 1st International Conference on Condition Assessment Techniques in Electrical Systems (CATCON) Pub Date : 2013-12-01 DOI: 10.1109/CATCON.2013.6737507

T. Prabakaran, S. Usa, A. S. Kumar

{"title":"Analysis of partial discharge signals in 420 kv gas insulated substation","authors":"T. Prabakaran, S. Usa, A. S. Kumar","doi":"10.1109/CATCON.2013.6737507","DOIUrl":"https://doi.org/10.1109/CATCON.2013.6737507","url":null,"abstract":"Gas insulated substation (GIS) reliability has been proven for more than forty years, yet some failures has been reported. Some of the failures are due to the presence of metallic and non metallic particles inside the GIS compartment. The defect can be generated in GIS during production, maintenance, installation and due to ageing of the component. The particle can give rise to field nonuniformities, which can reduce the breakdown strength. Proven technique to assess GIS insulation condition is partial discharge measurement in GIS. Hence for proper assessment of the failure it is necessary to have a good understanding of the partial discharge (PD) patterns. This paper identifies PD patterns for different defect using electrical and UHF method. As insulation failure usually starts with PD activity, this paper investigates the differences in PD characteristics in SF6 gas with different types of defects using electrical and UHF method. A series of tests has been done to establish a correlation between partial discharge as well as the applied voltage for different defects. Experimental results show that correct identification of defects can be achieved based on considered PD characteristics.","PeriodicalId":290479,"journal":{"name":"2013 IEEE 1st International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125506008","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: 4

Computational intelligence algorithm based condition monitoring system for power transformer 基于计算智能算法的电力变压器状态监测系统

2013 IEEE 1st International Conference on Condition Assessment Techniques in Electrical Systems (CATCON) Pub Date : 2013-12-01 DOI: 10.1109/CATCON.2013.6737538

M. Ballal, H. Suryawanshi, Deepali Makarand Ballal, B. N. Choudhari

引用次数: 3

Virtual instrument based fault classification in power transformers using artificial neural networks 基于虚拟仪器的电力变压器人工神经网络故障分类

2013 IEEE 1st International Conference on Condition Assessment Techniques in Electrical Systems (CATCON) Pub Date : 2013-12-01 DOI: 10.1109/CATCON.2013.6737492

S. Nanda, S. Gopalakrishna

引用次数: 3

Dry ice cleaning to improvise dielectric features of high voltage windings in turbine generators 干冰清洗改善汽轮发电机高压绕组介电特性

2013 IEEE 1st International Conference on Condition Assessment Techniques in Electrical Systems (CATCON) Pub Date : 2013-12-01 DOI: 10.1109/CATCON.2013.6737468

P. S. Kumar

{"title":"Dry ice cleaning to improvise dielectric features of high voltage windings in turbine generators","authors":"P. S. Kumar","doi":"10.1109/CATCON.2013.6737468","DOIUrl":"https://doi.org/10.1109/CATCON.2013.6737468","url":null,"abstract":"Surface electrical discharges and tracking in service are attributed to contamination of end windings in high voltage turbine generators. Unnoticed over a period of time, it deteriorates winding dielectric, results in low insulation resistance(IR), smaller polarization index(PI) number and higher tanδ. Dirty windings block the ventilation, increases power loss and reduce efficiency. Eventually, machine stalls with sudden earth fault. This paper discusses the novel purification method viz. Dry Ice Cleaning (DIC) to clean the stator end windings of turbine generator in a power plant. Effect of contamination on dielectric parameters of windings is emphasized. Traditional practices and cleaning agents to remove debris on overhangs are presented. New process of solid CO2 cleaning for dirt removal during overhaul is described. Techno-economic aspects in usage of this cryogenic material and technology are highlighted. Experience on 120MW, 11 KV turbine generator to enhance the life through DIC cleaning is presented. Condition assessment dielectric test results before and after DIC are depicted and compared. Recommendations are given to asset managers of power plants for eco friendly cleaning technology to protect the environment and enhance life of the machine.","PeriodicalId":290479,"journal":{"name":"2013 IEEE 1st International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121954546","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: 15