Vibro-Acoustic Methods in the Condition Assessment of Power Transformers: A Survey
It has been over two decades since the publication of pioneer works about the power transformer diagnostics based on monitoring of their acoustic fingerprints. Since then, there has been great progress in this field and the methods used are as complex as ever. Any unnecessary intervention on a power...
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description | It has been over two decades since the publication of pioneer works about the power transformer diagnostics based on monitoring of their acoustic fingerprints. Since then, there has been great progress in this field and the methods used are as complex as ever. Any unnecessary intervention on a power transformer implies its temporary disconnection from the power grid. The inability to supply electricity to the customer means not only financial loss for the utility but also generates a non-material loss, e.g., the loss of reputation to the customer. Faster, more accurate, more reliable, and less invasive diagnosis is the main reason behind development and improvement in this field. The main goal of this paper is to categorize and review state-of-the art of vibro-acoustic diagnostic methods for power transformers. This paper opens with a brief note about continuous condition monitoring, after which we overview the causes of transformer vibrations as well as the collection and preprocessing of diagnostic data. Then, we review and categorize works related to the acoustic condition assessment of power transformers considering both: feature extraction in the time, frequency, time-frequency domain, and mathematical modeling and system identification of dynamic systems. |
doi_str_mv | 10.1109/ACCESS.2019.2923809 |
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Since then, there has been great progress in this field and the methods used are as complex as ever. Any unnecessary intervention on a power transformer implies its temporary disconnection from the power grid. The inability to supply electricity to the customer means not only financial loss for the utility but also generates a non-material loss, e.g., the loss of reputation to the customer. Faster, more accurate, more reliable, and less invasive diagnosis is the main reason behind development and improvement in this field. The main goal of this paper is to categorize and review state-of-the art of vibro-acoustic diagnostic methods for power transformers. This paper opens with a brief note about continuous condition monitoring, after which we overview the causes of transformer vibrations as well as the collection and preprocessing of diagnostic data. Then, we review and categorize works related to the acoustic condition assessment of power transformers considering both: feature extraction in the time, frequency, time-frequency domain, and mathematical modeling and system identification of dynamic systems.</description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2019.2923809</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>acoustic emission ; acoustic measurements ; acoustic sensors ; acoustic signal processing ; Acoustics ; Condition monitoring ; Customers ; Diagnostic systems ; Electric power grids ; Electricity distribution ; fault diagnosis ; Feature extraction ; maintenance ; Monitoring ; Partial discharges ; power system faults ; power system reliability ; Power transformer insulation ; Power transformers ; Sensor phenomena and characterization ; System identification ; Transformers ; Vibration monitoring ; Vibrations</subject><ispartof>IEEE access, 2019, Vol.7, p.83915-83931</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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Since then, there has been great progress in this field and the methods used are as complex as ever. Any unnecessary intervention on a power transformer implies its temporary disconnection from the power grid. The inability to supply electricity to the customer means not only financial loss for the utility but also generates a non-material loss, e.g., the loss of reputation to the customer. Faster, more accurate, more reliable, and less invasive diagnosis is the main reason behind development and improvement in this field. The main goal of this paper is to categorize and review state-of-the art of vibro-acoustic diagnostic methods for power transformers. This paper opens with a brief note about continuous condition monitoring, after which we overview the causes of transformer vibrations as well as the collection and preprocessing of diagnostic data. Then, we review and categorize works related to the acoustic condition assessment of power transformers considering both: feature extraction in the time, frequency, time-frequency domain, and mathematical modeling and system identification of dynamic systems.</description><subject>acoustic emission</subject><subject>acoustic measurements</subject><subject>acoustic sensors</subject><subject>acoustic signal processing</subject><subject>Acoustics</subject><subject>Condition monitoring</subject><subject>Customers</subject><subject>Diagnostic systems</subject><subject>Electric power grids</subject><subject>Electricity distribution</subject><subject>fault diagnosis</subject><subject>Feature extraction</subject><subject>maintenance</subject><subject>Monitoring</subject><subject>Partial discharges</subject><subject>power system faults</subject><subject>power system reliability</subject><subject>Power transformer insulation</subject><subject>Power transformers</subject><subject>Sensor phenomena and characterization</subject><subject>System identification</subject><subject>Transformers</subject><subject>Vibration monitoring</subject><subject>Vibrations</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNpNUctOwzAQjBBIVIUv6MUS55T1Iw9ziyJeEghEC1fLideQqo3BTkH9ewxBFXvZ1WhmdleTJDMKc0pBnld1fblYzBlQOWeS8RLkQTJhNJcpz3h--G8-Tk5DWEGsMkJZMUmeXrrGu7Rq3TYMXUvucXhzJpCuJ8Mbktr1phs615MqBAxhg_1AnCWP7gs9WXrdB-v8Bn24IBVZbP0n7k6SI6vXAU__-jR5vrpc1jfp3cP1bV3dpa2Acki1ttiABSs1NZIXohAt8sI0oLXIrMhBaMM4B57Jwra6kAItk5EKyAyXfJrcjr7G6ZV6991G-51yulO_gPOvSvv40xoVzRvBc82koFRA00qrUYKhvCkt0MxEr7PR6927jy2GQa3c1vfxfMVEluVM5nkWWXxktd6F4NHut1JQP1moMQv1k4X6yyKqZqOqQ8S9oiwEyLLg3483hJI</recordid><startdate>2019</startdate><enddate>2019</enddate><creator>Secic, Adnan</creator><creator>Krpan, Matej</creator><creator>Kuzle, Igor</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-8187-7581</orcidid></search><sort><creationdate>2019</creationdate><title>Vibro-Acoustic Methods in the Condition Assessment of Power Transformers: A Survey</title><author>Secic, Adnan ; Krpan, Matej ; Kuzle, Igor</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c408t-aafeb0f0f9a1d937474ce37db0aa45f4604ad23303597fca794ef29d930e2d393</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>acoustic emission</topic><topic>acoustic measurements</topic><topic>acoustic sensors</topic><topic>acoustic signal processing</topic><topic>Acoustics</topic><topic>Condition monitoring</topic><topic>Customers</topic><topic>Diagnostic systems</topic><topic>Electric power grids</topic><topic>Electricity distribution</topic><topic>fault diagnosis</topic><topic>Feature extraction</topic><topic>maintenance</topic><topic>Monitoring</topic><topic>Partial discharges</topic><topic>power system faults</topic><topic>power system reliability</topic><topic>Power transformer insulation</topic><topic>Power transformers</topic><topic>Sensor phenomena and characterization</topic><topic>System identification</topic><topic>Transformers</topic><topic>Vibration monitoring</topic><topic>Vibrations</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Secic, Adnan</creatorcontrib><creatorcontrib>Krpan, Matej</creatorcontrib><creatorcontrib>Kuzle, Igor</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE Open Access Journals</collection><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>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials 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>DOAJ Directory of Open Access Journals</collection><jtitle>IEEE access</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Secic, Adnan</au><au>Krpan, Matej</au><au>Kuzle, Igor</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Vibro-Acoustic Methods in the Condition Assessment of Power Transformers: A Survey</atitle><jtitle>IEEE access</jtitle><stitle>Access</stitle><date>2019</date><risdate>2019</risdate><volume>7</volume><spage>83915</spage><epage>83931</epage><pages>83915-83931</pages><issn>2169-3536</issn><eissn>2169-3536</eissn><coden>IAECCG</coden><abstract>It has been over two decades since the publication of pioneer works about the power transformer diagnostics based on monitoring of their acoustic fingerprints. Since then, there has been great progress in this field and the methods used are as complex as ever. Any unnecessary intervention on a power transformer implies its temporary disconnection from the power grid. The inability to supply electricity to the customer means not only financial loss for the utility but also generates a non-material loss, e.g., the loss of reputation to the customer. Faster, more accurate, more reliable, and less invasive diagnosis is the main reason behind development and improvement in this field. The main goal of this paper is to categorize and review state-of-the art of vibro-acoustic diagnostic methods for power transformers. This paper opens with a brief note about continuous condition monitoring, after which we overview the causes of transformer vibrations as well as the collection and preprocessing of diagnostic data. 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subjects | acoustic emission acoustic measurements acoustic sensors acoustic signal processing Acoustics Condition monitoring Customers Diagnostic systems Electric power grids Electricity distribution fault diagnosis Feature extraction maintenance Monitoring Partial discharges power system faults power system reliability Power transformer insulation Power transformers Sensor phenomena and characterization System identification Transformers Vibration monitoring Vibrations |
title | Vibro-Acoustic Methods in the Condition Assessment of Power Transformers: A Survey |
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