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dc.contributor.authorSheiretov, Yanko
dc.contributor.authorGrundy, Dave
dc.contributor.authorZilberstein, Vladimir
dc.contributor.authorGoldfine, Neil J.
dc.contributor.authorMaley, Susan
dc.date.accessioned2011-03-04T20:31:08Z
dc.date.available2011-03-04T20:31:08Z
dc.date.issued2009-10
dc.date.submitted2009-09
dc.identifier.issn1530-437X
dc.identifier.issn1558-1748
dc.identifier.otherINSPEC Accession Number: 10914883
dc.identifier.urihttp://hdl.handle.net/1721.1/61420
dc.description.abstractUtilization of America's substantial coal reserves for energy production has become a national priority. Advanced coal-fired power plants offer an environmentally friendly means to achieve that goal. These power plants, such as ultrasupercritical power plants, will provide high thermal efficiency along with greatly reduced emissions of CO[subscript 2] and other pollutants. Life cycle costs for the advanced coal-fired plants can be reduced by enhanced observability in support of condition-based maintenance. The enhanced observability can be achieved by using networks of condition-monitoring sensors that would provide component-level material condition information and through-wall temperature monitoring. This would reduce uncertainties in knowledge of material condition, at the level of individual components, and improve capability to predict remaining life of critical components. One approach being developed under the U.S. Department of Energy Small Business Innovation Research Program is to develop and implement high-temperature versions of the meandering winding magnetometer (HT-MWM) for temperatures up to 1000 degC. These patented sensors, coupled with multivariate inverse methods, would provide superior performance for in situ material condition monitoring (material degradation, flaw detection, stress relaxation, and/or creep monitoring) and through-wall temperature measurement. Networks of HT-MWMs will generate material condition information to be used by adaptive life-management algorithms for remaining life prediction and decision support.en_US
dc.description.sponsorshipUnited States. Dept. of Energyen_US
dc.description.sponsorshipJentek Sensors (Firm)en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/jsen.2009.2019335en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceIEEEen_US
dc.titleMWM-Array Sensors for In Situ Monitoring of High-Temperature Components in Power Plantsen_US
dc.typeArticleen_US
dc.identifier.citationSheiretov, Y. et al. “MWM-Array Sensors for In Situ Monitoring of High-Temperature Components in Power Plants.” Sensors Journal, IEEE 9.11 (2009): 1527-1536. © 2009 IEEE.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Electromagnetic and Electronic Systemsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Research Laboratory of Electronicsen_US
dc.contributor.approverGoldfine, Neil J.
dc.contributor.mitauthorGoldfine, Neil J.
dc.relation.journalIEEE Sensors Journalen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsSheiretov, Y.; Grundy, D.; Zilberstein, V.; Goldfine, N.; Maley, S.en
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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