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Transformer Internal and Inrush Current Fault Detection Using Machine Learning
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作者 r.vidhya P.Vanaja Ranjan N.R.Shanker 《Intelligent Automation & Soft Computing》 SCIE 2023年第4期153-168,共16页
Preventive maintenance in the transformer is performed through a dif-ferential relay protection system,and it protects the transformer from internal and external faults.However,the Current Transformer(CT)in the differ... Preventive maintenance in the transformer is performed through a dif-ferential relay protection system,and it protects the transformer from internal and external faults.However,the Current Transformer(CT)in the differential protec-tion system mal-operates during inrush currents.CT saturates due to magnetizing inrush currents and causes false tripping of the differential relays.Moreover,iden-tification of tripping in protection relay either due to inrush current or internal faults needs to be diagnosed.For the above problem,continuous monitoring of transformer breather and CT terminals with thermal camera helps detect the trip-ping in relay due to inrush or internal fault.The transformer’s internal fault leads to high breathing process in the transformer breather,never for inrush currents.During inrush currents,CT temperature is increased.Continuous monitoring of breather and CT of the transformer through thermal imaging and radiometric pix-els detect the causes of CT saturation and differentiates maloperation.Hybrid wavelet threshold image analytics(HWT-IA)based radiometric pixels analysis of the transformer breather and CT after de-noising provides an accurate result of about 95%for identification of the false tripping of differential protection system of transformer. 展开更多
关键词 WAVELET THRESHOLD inrush TRANSFORMER BREATHER current transformer thermal image
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Application of GIS in urban utility mapping using image processing techniques 被引量:1
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作者 R.MANONMANI S.PRABAHARAN +1 位作者 r.vidhya M.RAMALINGAM 《Geo-Spatial Information Science》 SCIE EI 2012年第4期271-275,共5页
Growing cities are creating an alarming situation in all countries of the world.It has led to serious land use problems such as loss of agricultural land,unauthorized urban sprawl,high land values,speculation in land,... Growing cities are creating an alarming situation in all countries of the world.It has led to serious land use problems such as loss of agricultural land,unauthorized urban sprawl,high land values,speculation in land,and other related problems.In this emerging scenario,it is essential to have updated information on urban growth patterns and their impact on the living environment.Growth and development of these cities are likely to continue and therefore there will be a need for proper planning and managing or improving the existing infrastructure facilities.This study demonstrates image fusion of LISS-IV MX and Cartosat-1 satellite data to create detailed town planning and utility mapping for amenity patterns and facilities available in Karaikal city,India.Road patterns within the city are analyzed and a road network map is generated.A proximity analysis was carried out to understand the availability of institutions,hospitals,and industries for effective disaster management.Karaikal has grown rapidly in all directions especially in north,northwest and west parts.A big question for planners is the provision of proper amenities.Using geographic information system and remote sensing,city administrators can now evolve an expert decision support system aimed at various decisionmaking processes. 展开更多
关键词 high-resolution satellite data proximity analysis utility mapping
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