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Optimum use of existing sensor information for gas turbine diagnostics

dc.creatorStamatis, A. G.en
dc.date.accessioned2015-11-23T10:48:30Z
dc.date.available2015-11-23T10:48:30Z
dc.date.issued2008
dc.identifier10.1115/GT2008-50296
dc.identifier.isbn9780791843123
dc.identifier.urihttp://hdl.handle.net/11615/33346
dc.description.abstractGas Path Analysis, (GPA), has been proven a powerful tool for Gas Turbine fault detection and isolation. Restriction on GPA effectiveness is mainly due to limited instrumentation imposed by sensor technology and plant integrity. The main concept proposed in the past for overcoming this situation is based on exploiting existing sensor information from different operating conditions. In this paper, potential problems in diagnosis based on methods implementing the above concept are evaluated and a novel method is described. The new method is based on safer assumptions regarding the fault appearance on Gas turbines. The main idea is to exploit different sensor deviation values produced on the same operating point defined through different operating parameters. Application of the proposed method shows significant improvements regarding reliable Gas Turbine Diagnosis. Copyright © 2008 by ASME.en
dc.source.urihttp://www.scopus.com/inward/record.url?eid=2-s2.0-69949142055&partnerID=40&md5=5a1d899106cea24713ca28646e54177c
dc.subjectFault detection and isolationen
dc.subjectGas path analysisen
dc.subjectGas turbine diagnosticsen
dc.subjectNovel methodsen
dc.subjectOperating conditionen
dc.subjectOperating parametersen
dc.subjectOperating pointsen
dc.subjectPlant integrityen
dc.subjectPotential problemsen
dc.subjectSensor deviationen
dc.subjectSensor informationsen
dc.subjectSensor technologiesen
dc.subjectEnginesen
dc.subjectFault detectionen
dc.subjectGasesen
dc.subjectRegression analysisen
dc.subjectSensorsen
dc.subjectTurbomachineryen
dc.subjectGas turbinesen
dc.titleOptimum use of existing sensor information for gas turbine diagnosticsen
dc.typeconferenceItemen


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