Non-invasive valve stiction detection using wavelet technology
In this paper, we present a novel approach of valve stiction detection using wavelet technology. A new non-invasive method is developed with the closed-loop normal operating data. The redundant dyadic discrete wavelet transform is used to decompose the data at different resolution scales. Based on t...
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| creator | Zhanyang Xu Zhan, C.Q. Shunyi Zhang |
| description | In this paper, we present a novel approach of valve stiction detection using wavelet technology. A new non-invasive method is developed with the closed-loop normal operating data. The redundant dyadic discrete wavelet transform is used to decompose the data at different resolution scales. Based on the Lipschitz regularity theory, wavelet coefficients analysis across scales is performed to detect the jumps in the controlled variables. Adaptive wavelet denoising is then applied to the data. Features of the valve stiction patterns are extracted from the denoised data and the valve stiction probability is calculated. |
| doi_str_mv | 10.1109/CDC.2009.5399625 |
| format | Conference Proceeding |
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A new non-invasive method is developed with the closed-loop normal operating data. The redundant dyadic discrete wavelet transform is used to decompose the data at different resolution scales. Based on the Lipschitz regularity theory, wavelet coefficients analysis across scales is performed to detect the jumps in the controlled variables. Adaptive wavelet denoising is then applied to the data. Features of the valve stiction patterns are extracted from the denoised data and the valve stiction probability is calculated.</description><subject>Actuators</subject><subject>Chemical industry</subject><subject>Discrete wavelet transforms</subject><subject>Error correction</subject><subject>Friction</subject><subject>Industrial control</subject><subject>Open loop systems</subject><subject>Process control</subject><subject>Three-term control</subject><subject>Valves</subject><issn>0191-2216</issn><isbn>9781424438716</isbn><isbn>1424438713</isbn><isbn>9781424438723</isbn><isbn>1424438721</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVkD1PwzAYhI2gEqF0R2LJH3B4_W0vSCiUD6mCBebKiV8Xo5CgOgT131OpXVju7rnhhiPkikHFGLib-r6uOICrlHBOc3VCFs5YJrmUwhouTv8x02ekAOYY5ZzpGSmMo1qC0-ycXOT8CQAWtC7I7cvQ09RPPqcJy8l3e81jasc09GXAEQ_pJ6d-U_76CTscy3370Q_dsNldkln0XcbF0efk_WH5Vj_R1evjc323ookZNVKlYmulaoMW0mgbIw-qjc5DQA_Gehm9NKJB6QXYRjptAqLjzEtuQyOsmJPrw25CxPX3Nn357W59vEL8AZ6NTlM</recordid><startdate>200912</startdate><enddate>200912</enddate><creator>Zhanyang Xu</creator><creator>Zhan, C.Q.</creator><creator>Shunyi Zhang</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>200912</creationdate><title>Non-invasive valve stiction detection using wavelet technology</title><author>Zhanyang Xu ; Zhan, C.Q. ; Shunyi Zhang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-55fc845cd634768ff2d5cf9a0dea078a4fa473be4a308b4967dee921a428db383</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Actuators</topic><topic>Chemical industry</topic><topic>Discrete wavelet transforms</topic><topic>Error correction</topic><topic>Friction</topic><topic>Industrial control</topic><topic>Open loop systems</topic><topic>Process control</topic><topic>Three-term control</topic><topic>Valves</topic><toplevel>online_resources</toplevel><creatorcontrib>Zhanyang Xu</creatorcontrib><creatorcontrib>Zhan, C.Q.</creatorcontrib><creatorcontrib>Shunyi Zhang</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Zhanyang Xu</au><au>Zhan, C.Q.</au><au>Shunyi Zhang</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Non-invasive valve stiction detection using wavelet technology</atitle><btitle>Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference</btitle><stitle>CDC</stitle><date>2009-12</date><risdate>2009</risdate><spage>4939</spage><epage>4944</epage><pages>4939-4944</pages><issn>0191-2216</issn><isbn>9781424438716</isbn><isbn>1424438713</isbn><eisbn>9781424438723</eisbn><eisbn>1424438721</eisbn><abstract>In this paper, we present a novel approach of valve stiction detection using wavelet technology. A new non-invasive method is developed with the closed-loop normal operating data. The redundant dyadic discrete wavelet transform is used to decompose the data at different resolution scales. Based on the Lipschitz regularity theory, wavelet coefficients analysis across scales is performed to detect the jumps in the controlled variables. Adaptive wavelet denoising is then applied to the data. Features of the valve stiction patterns are extracted from the denoised data and the valve stiction probability is calculated.</abstract><pub>IEEE</pub><doi>10.1109/CDC.2009.5399625</doi><tpages>6</tpages></addata></record> |
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| ispartof | Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference, 2009, p.4939-4944 |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Actuators Chemical industry Discrete wavelet transforms Error correction Friction Industrial control Open loop systems Process control Three-term control Valves |
| title | Non-invasive valve stiction detection using wavelet technology |
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