Statistical analysis of partial discharge characteristics for predictive maintenance of generator of geothermal power plant

In order to guarantee reliable industrial power supply, predictive maintenance for generator becomes highly necessary. This measure is expected to reduce disruptive generator due to degraded insulation of its stator winding. Partial discharge (PD) is responsible for this disadvantage condition. The...

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Hauptverfasser:	Darwanto, D., Hamdani, D., Hariyanto, D. D., Karyawan, O. H.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Correlation Generators goethermal Insulation Iris partial discharge Partial discharges predictive maintenance Reactive power Stator windings vector autoregressive
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creator	Darwanto, D. Hamdani, D. Hariyanto, D. D. Karyawan, O. H.
description	In order to guarantee reliable industrial power supply, predictive maintenance for generator becomes highly necessary. This measure is expected to reduce disruptive generator due to degraded insulation of its stator winding. Partial discharge (PD) is responsible for this disadvantage condition. The objective of this paper is present partial discharge (PD) analysis using statistical methods for predictive maintenance of generator in geothermal power plant. TGA-B IRIS was used for online PD measurement. The measurement data is analysed statistically to forecast the time of critical condition of stator winding of generator using vector autoregressive (VAR) method. The analysis result became the basis of predictive maintenance.
doi_str_mv	10.1109/CMD.2012.6416325
format	Conference Proceeding
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D. ; Karyawan, O. H.</creator><creatorcontrib>Darwanto, D. ; Hamdani, D. ; Hariyanto, D. D. ; Karyawan, O. H.</creatorcontrib><description>In order to guarantee reliable industrial power supply, predictive maintenance for generator becomes highly necessary. This measure is expected to reduce disruptive generator due to degraded insulation of its stator winding. Partial discharge (PD) is responsible for this disadvantage condition. The objective of this paper is present partial discharge (PD) analysis using statistical methods for predictive maintenance of generator in geothermal power plant. TGA-B IRIS was used for online PD measurement. The measurement data is analysed statistically to forecast the time of critical condition of stator winding of generator using vector autoregressive (VAR) method. The analysis result became the basis of predictive maintenance.</description><identifier>ISBN: 1467310190</identifier><identifier>ISBN: 9781467310192</identifier><identifier>EISBN: 9781467310185</identifier><identifier>EISBN: 1467310204</identifier><identifier>EISBN: 1467310182</identifier><identifier>EISBN: 9781467310208</identifier><identifier>DOI: 10.1109/CMD.2012.6416325</identifier><language>eng</language><publisher>IEEE</publisher><subject>Correlation ; Generators ; goethermal ; Insulation ; Iris ; partial discharge ; Partial discharges ; predictive maintenance ; Reactive power ; Stator windings ; vector autoregressive</subject><ispartof>2012 IEEE International Conference on Condition Monitoring and Diagnosis, 2012, p.1003-1006</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6416325$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6416325$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Darwanto, D.</creatorcontrib><creatorcontrib>Hamdani, D.</creatorcontrib><creatorcontrib>Hariyanto, D. 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The analysis result became the basis of predictive maintenance.</description><subject>Correlation</subject><subject>Generators</subject><subject>goethermal</subject><subject>Insulation</subject><subject>Iris</subject><subject>partial discharge</subject><subject>Partial discharges</subject><subject>predictive maintenance</subject><subject>Reactive power</subject><subject>Stator windings</subject><subject>vector autoregressive</subject><isbn>1467310190</isbn><isbn>9781467310192</isbn><isbn>9781467310185</isbn><isbn>1467310204</isbn><isbn>1467310182</isbn><isbn>9781467310208</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kE9LAzEQxSMiqLV3wUu-QOvkzya7R6lahYoH9Vymm0kb2e4uSVCKX95trafHG97vwTzGrgVMhYDqdvZyP5Ug5NRoYZQsTti4sqXQxioBoixO2eW_qeCcjVP6BIABNbZSF-znLWMOKYcaG44tNrsUEu887zHmMNxcSPUG45r4XrDOFA_xxH0XeR_JhTqHL-JbDG2mFtua9vyaWoqYh8zBdHlDcTv09d03DVyDbb5iZx6bROOjjtjH48P77GmyeJ0_z-4WkyBskSfGkTRWWlsYgboW3oFfaemVK_SqBEkrrWVpFJG2SlYEbvjVQSVESaA8qBG7-esNRLTsY9hi3C2Pe6lfBENgdQ</recordid><startdate>201209</startdate><enddate>201209</enddate><creator>Darwanto, D.</creator><creator>Hamdani, D.</creator><creator>Hariyanto, D. 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H.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Darwanto, D.</au><au>Hamdani, D.</au><au>Hariyanto, D. D.</au><au>Karyawan, O. 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The objective of this paper is present partial discharge (PD) analysis using statistical methods for predictive maintenance of generator in geothermal power plant. TGA-B IRIS was used for online PD measurement. The measurement data is analysed statistically to forecast the time of critical condition of stator winding of generator using vector autoregressive (VAR) method. The analysis result became the basis of predictive maintenance.</abstract><pub>IEEE</pub><doi>10.1109/CMD.2012.6416325</doi><tpages>4</tpages></addata></record>
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subjects	Correlation Generators goethermal Insulation Iris partial discharge Partial discharges predictive maintenance Reactive power Stator windings vector autoregressive
title	Statistical analysis of partial discharge characteristics for predictive maintenance of generator of geothermal power plant
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