Monitoring of a thermoelectric power plant based on multivariate statistical process control

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dc.creatorJoyce Margarida Ferreira Fonseca
dc.creatorBruno Maciel Sousa
dc.creatorWebber Eustaquio Pereira de Aguiar
dc.creatorAnisio Rogerio Braga
dc.creatorAndre Paim Lemos
dc.creatorHugo Cesar Coelho Michel
dc.creatorCarmela Maria Polito Braga
dc.date.accessioned2024-10-03T15:29:29Z
dc.date.accessioned2025-09-08T23:36:07Z
dc.date.available2024-10-03T15:29:29Z
dc.date.issued2016-05
dc.identifier.doi10.1109/EAIS.2016.7502371
dc.identifier.issn2473-4691
dc.identifier.urihttps://hdl.handle.net/1843/77161
dc.languagepor
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofIEEE Workshop on Evolving and Adaptive Intelligent Systems
dc.rightsAcesso Restrito
dc.subjectTurbinas a vapor
dc.subjectAnálise multivariada
dc.subject.other5G mobile communication
dc.subject.otherAdaptive systems
dc.subject.otherIntelligent systems
dc.subject.otherMultivariate statistical process control
dc.subject.otherPrincipal component analysis
dc.subject.otherHotelling's T2 control chart
dc.subject.otherThermoelectric power plant
dc.subject.otherTurbine-generator unit
dc.subject.otherBoiler
dc.titleMonitoring of a thermoelectric power plant based on multivariate statistical process control
dc.typeArtigo de evento
local.citation.epage56
local.citation.issue2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)
local.citation.spage49
local.description.resumoThermoelectric power plants have critical units, such as the boiler and the turbine-generator, which are complex multivariate systems. These units exhibit non-stationary behavior and multiple operational modes that imply constant changes of set points of key performance variables. A methodology based on MSPC (Multivariate Statistical Process Control) techniques and PCA (Principal Component Analysis) is presented with an adaptive mean estimator that deals with frequent changes of set points, both for design and just in time monitoring. The proposed methodology is implemented in a thermoelectric power plant using a commercial PIMS (Process Information Management System) software suite. Experimental results illustrate and validate the proposition, its just-in-time implementation and usage.
local.publisher.countryBrasil
local.publisher.departmentENG - DEPARTAMENTO DE ENGENHARIA ELETRÔNICA
local.publisher.initialsUFMG
local.url.externahttps://ieeexplore.ieee.org/document/7502371

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