Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/90273
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dc.contributor.authorMurmanskii, I.en
dc.contributor.authorAronson, K.en
dc.contributor.authorMurmansky, B.en
dc.contributor.authorSosnovskii, A.en
dc.contributor.authorNovosyolov, V.en
dc.contributor.authorBrodov, Y.en
dc.date.accessioned2020-09-29T09:46:43Z-
dc.date.available2020-09-29T09:46:43Z-
dc.date.issued2020-
dc.identifier.citationFeatures of steam turbines diagnostics / I. Murmanskii, K. Aronson, B. Murmansky, A. Sosnovskii, et al. . — DOI 10.1051/e3sconf/202017801059 // E3S Web of Conferences. — 2020. — Iss. 178. — 1059.en
dc.identifier.issn2555-0403-
dc.identifier.otherhttps://www.e3s-conferences.org/articles/e3sconf/pdf/2020/38/e3sconf_hsted2020_01059.pdfpdf
dc.identifier.other1good_DOI
dc.identifier.other3b9efc30-0f40-4efe-b02d-78eb81d41e31pure_uuid
dc.identifier.otherhttp://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85089498104m
dc.identifier.urihttp://hdl.handle.net/10995/90273-
dc.identifier.urihttps://elar.urfu.ru/handle/10995/90273en
dc.description.abstractEnterprises of energy equipment and operational utilities set sights on diagnostic systems. This is necessary for state control and maintenance planning of steam turbines. It is useful for digitalization purposes too. So far, some mathematical systems are already used. Algorithms for flow part, heat expansion system, control system, vibration-based diagnostics and auxiliary equipment are already designed. We designed algorithms just in principle. Adapting them, for the PT-75/80-90 turbine we met with difficulties. Firstly, we should connect them to a single interface. Secondly, adaptation should include features of the equipment, its state (if not new), even operating conditions. Diagnostic signs for each turbine are the most important. We define them based on the operational data. When adapting the algorithms, we reconsider the signs list. We also estimate its coefficients of importance again. This requires experts to study designs, calculations, and modelling. We also analyzed a large amount of operation data at various power plants. To define the state we use tests. Adapting is based on the modes of a specific power station. Following this strategy, we adapt general algorithms for various turbines. © The Authors, published by EDP Sciences, 2020.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherEDP Sciencesen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.rightscc-byother
dc.sourceE3S Web of Conferencesen
dc.subjectDIGITAL STORAGEen
dc.subjectPOWER PLANTSen
dc.subjectSTEAM TURBINESen
dc.subjectDIAGNOSTIC SYSTEMSen
dc.subjectENERGY EQUIPMENTSen
dc.subjectHEAT EXPANSIONen
dc.subjectMAINTENANCE PLANNINGen
dc.subjectOPERATING CONDITIONen
dc.subjectOPERATIONAL DATAen
dc.subjectOPERATIONAL UTILITYen
dc.subjectSPECIFIC POWERen
dc.subjectAUXILIARY EQUIPMENTen
dc.titleFeatures of steam turbines diagnosticsen
dc.typeConference Paperen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.1051/e3sconf/202017801059-
dc.identifier.scopus85089498104-
local.affiliationUral Federal University, Turbines and Engines Dep., Mira, 19, Ekaterinburg, 620002, Russian Federationen
local.contributor.employeeMurmanskii, I., Ural Federal University, Turbines and Engines Dep., Mira, 19, Ekaterinburg, 620002, Russian Federationru
local.contributor.employeeAronson, K., Ural Federal University, Turbines and Engines Dep., Mira, 19, Ekaterinburg, 620002, Russian Federationru
local.contributor.employeeMurmansky, B., Ural Federal University, Turbines and Engines Dep., Mira, 19, Ekaterinburg, 620002, Russian Federationru
local.contributor.employeeSosnovskii, A., Ural Federal University, Turbines and Engines Dep., Mira, 19, Ekaterinburg, 620002, Russian Federationru
local.contributor.employeeNovosyolov, V., Ural Federal University, Turbines and Engines Dep., Mira, 19, Ekaterinburg, 620002, Russian Federationru
local.contributor.employeeBrodov, Y., Ural Federal University, Turbines and Engines Dep., Mira, 19, Ekaterinburg, 620002, Russian Federationru
local.issue178-
local.identifier.pure13683882-
local.description.order1059-
local.identifier.eid2-s2.0-85089498104-
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

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