Comparison of several methods for calculating power line electromagnetic interference levels and calibration with long term data
Five different methods for predicting foul-weather electromagnetic interference from power lines have been studied. Differences between the predictions in excess of 10 dB are common. Each method has been optimized by adding a constant chosen to minimize the difference between predictions and a set o...
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Veröffentlicht in: | IEEE transactions on power delivery 1992-04, Vol.7 (2), p.903-913 |
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creator | Olsen, R.G. Schennum, S.D. Chartier, V.L. |
description | Five different methods for predicting foul-weather electromagnetic interference from power lines have been studied. Differences between the predictions in excess of 10 dB are common. Each method has been optimized by adding a constant chosen to minimize the difference between predictions and a set of long-term measurements. The rationale for doing this is that each generation function was developed under somewhat different weather conditions. The best optimized method is the one with the smallest difference. The best methods have, respectively, 1.7 and 4.4 db RMS differences between average stable foul and average fair-weather measurements.< > |
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Differences between the predictions in excess of 10 dB are common. Each method has been optimized by adding a constant chosen to minimize the difference between predictions and a set of long-term measurements. The rationale for doing this is that each generation function was developed under somewhat different weather conditions. The best optimized method is the one with the smallest difference. The best methods have, respectively, 1.7 and 4.4 db RMS differences between average stable foul and average fair-weather measurements.< ></description><identifier>ISSN: 0885-8977</identifier><identifier>EISSN: 1937-4208</identifier><identifier>DOI: 10.1109/61.127097</identifier><identifier>CODEN: ITPDE5</identifier><language>eng</language><publisher>NEW YORK: IEEE</publisher><subject>Applied sciences ; Conductors ; Disturbances. Regulation. Protection ; Electrical engineering. 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Differences between the predictions in excess of 10 dB are common. Each method has been optimized by adding a constant chosen to minimize the difference between predictions and a set of long-term measurements. The rationale for doing this is that each generation function was developed under somewhat different weather conditions. The best optimized method is the one with the smallest difference. The best methods have, respectively, 1.7 and 4.4 db RMS differences between average stable foul and average fair-weather measurements.< ></description><subject>Applied sciences</subject><subject>Conductors</subject><subject>Disturbances. Regulation. Protection</subject><subject>Electrical engineering. Electrical power engineering</subject><subject>Electrical power engineering</subject><subject>Electromagnetic interference</subject><subject>Electromagnetic measurements</subject><subject>Engineering</subject><subject>Engineering, Electrical & Electronic</subject><subject>Equations</subject><subject>Exact sciences and technology</subject><subject>Frequency</subject><subject>Magnetic field measurement</subject><subject>Optimization methods</subject><subject>Power networks and lines</subject><subject>Rain</subject><subject>Science & Technology</subject><subject>Technology</subject><subject>Testing</subject><subject>Weather forecasting</subject><issn>0885-8977</issn><issn>1937-4208</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1992</creationdate><recordtype>article</recordtype><sourceid>EZCTM</sourceid><recordid>eNqNkcFvFCEUhyfGJq6tB6-eOBgTY6bCMAxwbCZqjU160fPkLfNoMQyswHbjzT-9rLOpV0-8w_f9HvxomteMXjJG9ceBXbJOUi2fNRumuWz7jqrnzYYqJVqlpXzRvMz5J6W0p5pumj9jXHaQXI6BREsyPmACTxYs93HOxMZEDHiz91BcuCO7eMBEvAtI0KMpKS5wF7A4Q1womCwmDAaJrzk-EwjzUXfbVPW64eDKPfGxBlV2ITMUuGjOLPiMr07nefPj86fv43V7c_vl63h10xpOh9J2zApQHAYADkKIuZMz8s5iz7cD19TOs7SMU4ZaMS6E7YfB9KyzEmwdkJ8379bcXYq_9pjLtLhs0HsIGPd56hQbBO1VBd-voEkx54R22iW3QPo9MTodO54GNq0dV_btKRRyfadNEIzLT4JgPedKV0yt2AG30Wbjjh09UVdM6-76G9Oy_srARlf-ljXGfShV_fD_aqXfrLRD_EedLvsI9XSnbQ</recordid><startdate>19920401</startdate><enddate>19920401</enddate><creator>Olsen, R.G.</creator><creator>Schennum, S.D.</creator><creator>Chartier, V.L.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><scope>BLEPL</scope><scope>DTL</scope><scope>EZCTM</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope></search><sort><creationdate>19920401</creationdate><title>Comparison of several methods for calculating power line electromagnetic interference levels and calibration with long term data</title><author>Olsen, R.G. ; Schennum, S.D. ; Chartier, V.L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c306t-21f5a83a6aa3a555d27de32fe43b6390fdd7f1301e981355f466c412f7af6c4e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1992</creationdate><topic>Applied sciences</topic><topic>Conductors</topic><topic>Disturbances. Regulation. Protection</topic><topic>Electrical engineering. Electrical power engineering</topic><topic>Electrical power engineering</topic><topic>Electromagnetic interference</topic><topic>Electromagnetic measurements</topic><topic>Engineering</topic><topic>Engineering, Electrical & Electronic</topic><topic>Equations</topic><topic>Exact sciences and technology</topic><topic>Frequency</topic><topic>Magnetic field measurement</topic><topic>Optimization methods</topic><topic>Power networks and lines</topic><topic>Rain</topic><topic>Science & Technology</topic><topic>Technology</topic><topic>Testing</topic><topic>Weather forecasting</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Olsen, R.G.</creatorcontrib><creatorcontrib>Schennum, S.D.</creatorcontrib><creatorcontrib>Chartier, V.L.</creatorcontrib><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Web of Science - Science Citation Index Expanded - 1992</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on power delivery</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Olsen, R.G.</au><au>Schennum, S.D.</au><au>Chartier, V.L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparison of several methods for calculating power line electromagnetic interference levels and calibration with long term data</atitle><jtitle>IEEE transactions on power delivery</jtitle><stitle>TPWRD</stitle><stitle>IEEE T POWER DELIVER</stitle><date>1992-04-01</date><risdate>1992</risdate><volume>7</volume><issue>2</issue><spage>903</spage><epage>913</epage><pages>903-913</pages><issn>0885-8977</issn><eissn>1937-4208</eissn><coden>ITPDE5</coden><abstract>Five different methods for predicting foul-weather electromagnetic interference from power lines have been studied. Differences between the predictions in excess of 10 dB are common. Each method has been optimized by adding a constant chosen to minimize the difference between predictions and a set of long-term measurements. The rationale for doing this is that each generation function was developed under somewhat different weather conditions. The best optimized method is the one with the smallest difference. The best methods have, respectively, 1.7 and 4.4 db RMS differences between average stable foul and average fair-weather measurements.< ></abstract><cop>NEW YORK</cop><pub>IEEE</pub><doi>10.1109/61.127097</doi><tpages>11</tpages></addata></record> |
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subjects | Applied sciences Conductors Disturbances. Regulation. Protection Electrical engineering. Electrical power engineering Electrical power engineering Electromagnetic interference Electromagnetic measurements Engineering Engineering, Electrical & Electronic Equations Exact sciences and technology Frequency Magnetic field measurement Optimization methods Power networks and lines Rain Science & Technology Technology Testing Weather forecasting |
title | Comparison of several methods for calculating power line electromagnetic interference levels and calibration with long term data |
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