Failure identification and analysis for high-voltage induction motors in the petrochemical industry

This paper gives a synopsis of condition monitoring methods, both as a diagnostic tool and as a technique for failure identification in high-voltage induction motors in industry. New operating experience data for 483 motor units consisting of 6135 unit years are registered and processed statisticall...

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Veröffentlicht in:	IEEE transactions on industry applications 1999-07, Vol.35 (4), p.810-818
Hauptverfasser:	Thorsen, O.V., Dalva, M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Acoustic pulses Chemical industry Condition monitoring Electric shock Failure Failure analysis Fault detection Frequency Induction motors Joints Maintenance Motors Petrochemicals Philosophy Vibration measurement
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container_title	IEEE transactions on industry applications
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creator	Thorsen, O.V. Dalva, M.
description	This paper gives a synopsis of condition monitoring methods, both as a diagnostic tool and as a technique for failure identification in high-voltage induction motors in industry. New operating experience data for 483 motor units consisting of 6135 unit years are registered and processed statistically to ascertain the connection between motor data, protection and condition monitoring methods, maintenance philosophy and different types of failures. The different types of failures are further analyzed to determine the failure initiators, contributors and underlying causes. The results have been compared with those of a previous survey, the "IEEE Report of Large Motor Reliability Survey of Industrial and Commercial Installations, 1985." In the present survey, the motors range from 100 to 1300 kW; 47% of them are between 100-500 kW.
doi_str_mv	10.1109/28.777188
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New operating experience data for 483 motor units consisting of 6135 unit years are registered and processed statistically to ascertain the connection between motor data, protection and condition monitoring methods, maintenance philosophy and different types of failures. The different types of failures are further analyzed to determine the failure initiators, contributors and underlying causes. The results have been compared with those of a previous survey, the "IEEE Report of Large Motor Reliability Survey of Industrial and Commercial Installations, 1985." In the present survey, the motors range from 100 to 1300 kW; 47% of them are between 100-500 kW.</description><subject>Acoustic pulses</subject><subject>Chemical industry</subject><subject>Condition monitoring</subject><subject>Electric shock</subject><subject>Failure</subject><subject>Failure analysis</subject><subject>Fault detection</subject><subject>Frequency</subject><subject>Induction motors</subject><subject>Joints</subject><subject>Maintenance</subject><subject>Motors</subject><subject>Petrochemicals</subject><subject>Philosophy</subject><subject>Vibration measurement</subject><issn>0093-9994</issn><issn>1939-9367</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1999</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNqF0UFLwzAUwPEgCs7pwaunnkQPnUmTpslRhlNh4EXPJU1f10jbzCQV9u3N1uFRDyGQ9-MP4SF0TfCCECwfMrEoioIIcYJmRFKZSsqLUzTDWNJUSsnO0YX3nxgTlhM2Q3qlTDc6SEwNQzCN0SoYOyRqqONR3c4bnzTWJa3ZtOm37YLaRDzUoz643gbrfHxIQgvJFoKzuoU-ZrqD8sHtLtFZozoPV8d7jj5WT-_Ll3T99vy6fFynmuU8pJyrTOWE51pIAnmFKQXaMFVrTmsmCgqqajJVV7zCTSGYInmEmEBdNZTG_83R7dTdOvs1gg9lb7yGrlMD2NGXmcwow5L_D0XGc8H2xbs_IeEFiUkhaaT3E9XOeu-gKbfO9MrtSoLL_WpitZxWE-3NZA0A_Lrj8Ad9OIpb</recordid><startdate>19990701</startdate><enddate>19990701</enddate><creator>Thorsen, O.V.</creator><creator>Dalva, M.</creator><general>IEEE</general><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7TB</scope><scope>KR7</scope></search><sort><creationdate>19990701</creationdate><title>Failure identification and analysis for high-voltage induction motors in the petrochemical industry</title><author>Thorsen, O.V. ; Dalva, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c456t-66a2a5165c891e5b033e3f4adc63d4873eabf2adb6b0f784a1589101edbf33093</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1999</creationdate><topic>Acoustic pulses</topic><topic>Chemical industry</topic><topic>Condition monitoring</topic><topic>Electric shock</topic><topic>Failure</topic><topic>Failure analysis</topic><topic>Fault detection</topic><topic>Frequency</topic><topic>Induction motors</topic><topic>Joints</topic><topic>Maintenance</topic><topic>Motors</topic><topic>Petrochemicals</topic><topic>Philosophy</topic><topic>Vibration measurement</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Thorsen, O.V.</creatorcontrib><creatorcontrib>Dalva, M.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Civil Engineering Abstracts</collection><jtitle>IEEE transactions on industry applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Thorsen, O.V.</au><au>Dalva, M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Failure identification and analysis for high-voltage induction motors in the petrochemical industry</atitle><jtitle>IEEE transactions on industry applications</jtitle><stitle>TIA</stitle><date>1999-07-01</date><risdate>1999</risdate><volume>35</volume><issue>4</issue><spage>810</spage><epage>818</epage><pages>810-818</pages><issn>0093-9994</issn><eissn>1939-9367</eissn><coden>ITIACR</coden><abstract>This paper gives a synopsis of condition monitoring methods, both as a diagnostic tool and as a technique for failure identification in high-voltage induction motors in industry. New operating experience data for 483 motor units consisting of 6135 unit years are registered and processed statistically to ascertain the connection between motor data, protection and condition monitoring methods, maintenance philosophy and different types of failures. The different types of failures are further analyzed to determine the failure initiators, contributors and underlying causes. The results have been compared with those of a previous survey, the "IEEE Report of Large Motor Reliability Survey of Industrial and Commercial Installations, 1985." In the present survey, the motors range from 100 to 1300 kW; 47% of them are between 100-500 kW.</abstract><pub>IEEE</pub><doi>10.1109/28.777188</doi><tpages>9</tpages></addata></record>
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subjects	Acoustic pulses Chemical industry Condition monitoring Electric shock Failure Failure analysis Fault detection Frequency Induction motors Joints Maintenance Motors Petrochemicals Philosophy Vibration measurement
title	Failure identification and analysis for high-voltage induction motors in the petrochemical industry
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