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Study of Temperature Distribution Along an Artificially Polluted Insulator String 被引量:24
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作者 B Subba Reddy G R Nagabhushana 《Plasma Science and Technology》 SCIE EI CAS CSCD 2003年第2期1715-1720,共6页
Insulator becomes wet partially or completely, and the pollution layer on itbecomes conductive, when collecting pollutants for an extended period during dew, light rain, mist,fog or snow melting. Heavy rain is a compl... Insulator becomes wet partially or completely, and the pollution layer on itbecomes conductive, when collecting pollutants for an extended period during dew, light rain, mist,fog or snow melting. Heavy rain is a complicated factor that it may wash away the pollution layerwithout initiating other stages of breakdown or it may bridge the gaps between sheds to promoteflashover. The insulator with a conducting pollution layer being energized, can cause a surfaceleakage current to flow (also temperature-rise). As the surface conductivity is non-uniform, theconducting pollution layer becomes broken by dry bands (at spots of high current density),interrupting the flow of leakage current. Voltage across insulator gets concentrated across drybands, and causes high electric stress and breakdown (dry band arcing). If the resistance of theinsulator surface is sufficiently low, the dry band arcs can be propagated to bridge the terminalscausing flashover. The present paper concerns the evaluation of the temperature distribution alongthe surface of an energized artificially polluted insulator string. 展开更多
关键词 temperature distribution artificially polluted insulator string
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Resistance Measurements and Interpretations Relating to Flashover of Artificially Contaminated Ceramic Insulator Strings
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作者 B.SubbaReddy G.R.Nagabhushana 《Plasma Science and Technology》 SCIE EI CAS CSCD 2003年第6期2093-2100,共8页
The flashover of insulator strings occurring at normal working voltages undercontaminated/polluted conditions, obviously deserves serious consideration. Though much researchhas been gone into pollution-induced flashov... The flashover of insulator strings occurring at normal working voltages undercontaminated/polluted conditions, obviously deserves serious consideration. Though much researchhas been gone into pollution-induced flashover phenomena but grey areas still exist in ourknowledge. In the present experimental study the breakdown (flashover) voltages across gaps oninsulator top surfaces and gaps between sheds (on the underside of an insulator), also the flashoverstudies on a single unit and a 3-unit insulator strings were carried out. An attempt has been madeto correlate the values obtained for all the cases. From the present investigation it was found thatresistance measurement of individual units of a polluted 3-unit string before and after flashoverindicates that strongly differing resistances could be the cause of flashover of ceramic discinsulator strings. 展开更多
关键词 artificially contaminated/polluted insulator strings resistancemeasurements insulator flashover breakdown voltages ceramic insulators
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Use of Artificial Neural Networks for Location of Defective Insulators in Power Lines
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作者 Renato Massoni Capelini Jose Feliciano Adami +2 位作者 Manuel Luis Barreira Martinez Marcel Femando da Costa Parentoni Ithamar Sene 《Journal of Energy and Power Engineering》 2012年第8期1308-1314,共7页
This is an extended version of the same titled paper presented at the 21st CIRED. It discusses a new technique for identification and location of defective insulator strings in power lines based on the analysis of hig... This is an extended version of the same titled paper presented at the 21st CIRED. It discusses a new technique for identification and location of defective insulator strings in power lines based on the analysis of high frequency signals generated by corona effect. Damaged insulator strings may lead to loss of insulation and hence to the corona effect, in other words, to partial discharges. These partial discharges can be detected by a system composed of a capacitive coupling device (region between the phase and the metal body of a current transformer), a data acquisition board and a computer. Analyzing the waveform of these partial discharges through a neural network based software, it is possible to identify and locate the defective insulator string. This paper discusses how this software analysis works and why its technique is suitable for this application. Hence the results of key tests performed along the development are discussed, pointing out the main factors that affect their performance. 展开更多
关键词 Corona effect current transformer insulator string neural network power line.
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