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Uncertainty reduction in gas turbine performance diagnostics by accounting for humidity effects

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dc.contributor.author Mathioudakis, K en
dc.contributor.author Tsalavoutas, T en
dc.date.accessioned 2014-03-01T01:18:27Z
dc.date.available 2014-03-01T01:18:27Z
dc.date.issued 2002 en
dc.identifier.issn 0742-4795 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/15022
dc.subject Ambient Temperature en
dc.subject Computer Model en
dc.subject Condition Assessment en
dc.subject Gas Turbine en
dc.subject.classification Engineering, Mechanical en
dc.subject.other Atmospheric humidity en
dc.subject.other Deterioration en
dc.subject.other Durability en
dc.subject.other Mathematical models en
dc.subject.other Fault diagnosis en
dc.subject.other Gas turbines en
dc.subject.other automation en
dc.subject.other gas turbine en
dc.subject.other humidity en
dc.subject.other monitoring system en
dc.subject.other performance assessment en
dc.title Uncertainty reduction in gas turbine performance diagnostics by accounting for humidity effects en
heal.type journalArticle en
heal.identifier.primary 10.1115/1.1470485 en
heal.identifier.secondary http://dx.doi.org/10.1115/1.1470485 en
heal.language English en
heal.publicationDate 2002 en
heal.abstract The paper presents an analysis of the effect of ambient humidity on the performance of industrial gas turbines and examines the impact of humidity on methods used for engine condition assessment and fault diagnostics. First, the way of incorporating the effect of humidity into a computer model of gas turbine performance is described. The model is then used to derive parameters indicative of the ""health"" of a gas turbine and thus diagnose the presence of deterioration or faults. The impact of humidity magnitude on the values of these health parameters is studied and the uncertainty introduced, if humidity is not taken into account, is assessed. It is shown that the magnitude of the effect of humidity depends on ambient conditions and is more severe for higher ambient temperatures. Data from an industrial gas turbine are presented to demonstrate these effects and to show that if humidity is appropriately taken into account, the uncertainty in the estimation of health parameters is reduced. en
heal.publisher ASME-AMER SOC MECHANICAL ENG en
heal.journalName Journal of Engineering for Gas Turbines and Power en
dc.identifier.doi 10.1115/1.1470485 en
dc.identifier.isi ISI:000178636200008 en
dc.identifier.volume 124 en
dc.identifier.issue 4 en
dc.identifier.spage 801 en
dc.identifier.epage 808 en


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