2019 IEEE 4th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)最新文献_第3页

Investigations on Feasibility of Fault Detection in Underground Power Cables Using SFRA 基于SFRA的地下电力电缆故障检测可行性研究

2019 IEEE 4th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON) Pub Date : 2019-11-01 DOI: 10.1109/CATCON47128.2019.CN0015

Aritra Das, Charu Sehgal, C. Reddy

引用次数: 2

Dielectric and Thermal Behavior of PTFE/Sr2TiMnO6 (STMO) Composites 聚四氟乙烯/Sr2TiMnO6 (STMO)复合材料的介电和热性能

2019 IEEE 4th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON) Pub Date : 2019-11-01 DOI: 10.1109/CATCON47128.2019.CN0093

A. Ashokbabu, P. Thomas

引用次数: 1

Finite Element based Vibration Signature analysis of electrical Propeller Drive System for condition monitoring 基于有限元的电动螺旋桨驱动系统状态监测振动特征分析

2019 IEEE 4th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON) Pub Date : 2019-11-01 DOI: 10.1109/CATCON47128.2019.CN0041

Sathyanarayan Rajaram, S. Nadarajan, Viswanathan Vaiyapuri, S. Narasimalu, A. Gupta

{"title":"Finite Element based Vibration Signature analysis of electrical Propeller Drive System for condition monitoring","authors":"Sathyanarayan Rajaram, S. Nadarajan, Viswanathan Vaiyapuri, S. Narasimalu, A. Gupta","doi":"10.1109/CATCON47128.2019.CN0041","DOIUrl":"https://doi.org/10.1109/CATCON47128.2019.CN0041","url":null,"abstract":"Any defect in the form of an axial crack or a circular defect in the propeller induces additional component in the centrifugal force and thereby producing an additional vibration characteristic in the propeller. The objective of this paper is to determine the translation of vibration to the permanent magnet synchronous machine (PMSM) which drives the propeller and in turn a triaxial accelerometer is used to detect the faults. A finite element based model is created consisting of the propeller, shaft, bearings and PMSM. The FEA modal analysis is performed to determine the natural frequency of the system and a harmonic response analysis is performed to determine the vibration harmonics at the natural frequency of the system. A comparison of the natural frequencies of the healthy system and the defective systems are obtained along with vibration characteristics for the different profiles and the load dependency of the vibration characteristics. It is observed that the x-axis and z-axis vibrations increase significantly for the defective propeller and it increases with load.","PeriodicalId":183797,"journal":{"name":"2019 IEEE 4th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116933655","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

Understanding the Life and Ageing of XLPE Insulation considering Free Energy Barrier Concept 基于自由能垒概念的交联聚乙烯绝热材料寿命与老化研究

2019 IEEE 4th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON) Pub Date : 2019-11-01 DOI: 10.1109/CATCON47128.2019.CN0029

Darshan Prakash Borthakur, S. Das

引用次数: 1

Parameter Analysis of Power Cable due to Presence of Void 电力电缆存在空隙的参数分析

2019 IEEE 4th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON) Pub Date : 2019-11-01 DOI: 10.1109/CATCON47128.2019.CN0072

Lourembam Ranjita Devi, Anu Kumar Das, S. Chatterjee

引用次数: 1

A Novel Method of Fault Prediction in Transformer Oil using Infrared Spectroscopy 基于红外光谱的变压器油故障预测新方法

2019 IEEE 4th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON) Pub Date : 2019-11-01 DOI: 10.1109/CATCON47128.2019.CN0055

Anurag Dutta, S. Karmakar, Hussain Kalathiripi

{"title":"A Novel Method of Fault Prediction in Transformer Oil using Infrared Spectroscopy","authors":"Anurag Dutta, S. Karmakar, Hussain Kalathiripi","doi":"10.1109/CATCON47128.2019.CN0055","DOIUrl":"https://doi.org/10.1109/CATCON47128.2019.CN0055","url":null,"abstract":"Dissolved gas analysis (DGA) is the most widely used technique for predicting incipient faults in transformer oil. In order to perform DGA, the concentration of dissolved gases such as Methane (CH4), Ethylene (C2H4) and Acetylene (C2H2) are required. The concentration of these gases can be determined by means of Gas Chromatography (GC) which is the most globally used technique. However, this technique requires an experienced operator, has high maintenance and running costs, and time consuming as well. In view of these issues, a new method of fault prediction is proposed in this paper that makes use of the absorption phenomena of transformer oil. Fourier Transform Infrared (FTIR) Spectroscopy was performed on oil samples that have been degraded due to the accumulative and repetitive impact of high voltage impulses. The FTIR spectra gave the peak absorbance values of the dissolved gases viz; CH4, C2H4 and C2H2. Finally, the Duval triangle method was implemented for fault prediction. Also, other properties of oil such as breakdown voltage and dielectric constant have also been evaluated.","PeriodicalId":183797,"journal":{"name":"2019 IEEE 4th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128089088","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

Transformer Incipient Fault Diagnosis using Machine Learning Classifiers 基于机器学习分类器的变压器早期故障诊断

2019 IEEE 4th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON) Pub Date : 2019-11-01 DOI: 10.1109/CATCON47128.2019.CN0046

Vaishnavi Cheemala, Avinash Nelson Asokan, P. P.

{"title":"Transformer Incipient Fault Diagnosis using Machine Learning Classifiers","authors":"Vaishnavi Cheemala, Avinash Nelson Asokan, P. P.","doi":"10.1109/CATCON47128.2019.CN0046","DOIUrl":"https://doi.org/10.1109/CATCON47128.2019.CN0046","url":null,"abstract":"Power transformers are important equipment in the electric grid. The availability loss of the transformer is a high impact event for various stakeholders in the power system network. Hence transformer health monitoring has garnered much significance. Dissolved Gas Analysis is by far the most prevalent condition monitoring technique among utilities. However, identifying the condition of the transformer from the DGA observations is a difficult task. Machine learning algorithms based on the principles of probability and decision making theories are now gaining momentum in this area. In this study, the performance of SVM, k-NN and ensemble method algorithms are compared in interpreting DGA data. Data transformation is performed on raw data to improve its quality. The DGA test datasets are generally skewed which hamper the performance of the classifiers. Data random sampling is employed to balance the data. The effects of the data transformations and data imbalance have been studied. The results obtained show that the ensemble method algorithm performed the best in most cases. Also, the performance of the classifier algorithms has been found to increase through data pre-processing and data balancing.","PeriodicalId":183797,"journal":{"name":"2019 IEEE 4th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124973314","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: 6

Reinforcement of Generator Stator End Winding Structure by Modal Analysis Approach 用模态分析方法加固发电机定子端部绕组结构

2019 IEEE 4th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON) Pub Date : 2019-11-01 DOI: 10.1109/CATCON47128.2019.CN0071

P.G.S. Kumar, K. M. Reddy, K. K. Kumar

{"title":"Reinforcement of Generator Stator End Winding Structure by Modal Analysis Approach","authors":"P.G.S. Kumar, K. M. Reddy, K. K. Kumar","doi":"10.1109/CATCON47128.2019.CN0071","DOIUrl":"https://doi.org/10.1109/CATCON47128.2019.CN0071","url":null,"abstract":"Stator end winding of turbine generator experiences high vibrations at resonance frequency in operation which result into basket loosening, insulation failure and ultimately end with no power from machine. Modal analysis is a powerful tool of vibration test to visualize vibration characteristics viz. natural frequencies, amplitudes and mode shapes of dynamic structures. This article elucidates the vibration behavior of stator end winding structure in a 150 MVA, 16 kV, 50 Hz turbine generator of decennial period. Natural frequency test (NFT) was conducted on it in off-line condition. An impact hammer and an accelerometer were jointly used for excitation force and respond vibration respectively. Modal parameters were extracted from the frequency response function through FFT analyzer. Natural frequencies and vibration magnitudes had been obtained. Overhang was reinforced based on the test results. Efficacy of the rectification work was endorsed by post modal analysis. Vibration amplitudes had been brought down to low values in the resonance band width of 95 to 110 Hz.","PeriodicalId":183797,"journal":{"name":"2019 IEEE 4th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131581378","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

Compatibility Analysis of Paper Insulation with Natural Ester 纸绝缘材料与天然酯的相容性分析

2019 IEEE 4th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON) Pub Date : 2019-11-01 DOI: 10.1109/CATCON47128.2019.CN0080

Noofa Sayed, Joyce Jacob, Sindhu T.K, P. P.

引用次数: 0

Study of different grades of CRGO core material for evaluation of power factor 研究不同牌号的CRGO芯材对功率因数的评价

2019 IEEE 4th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON) Pub Date : 2019-11-01 DOI: 10.1109/CATCON47128.2019.CN00020

G. K. Kumar, R. Kumar

引用次数: 0