Mathioudakis, KKyriazis, AA two-step information fusion technique allowing the combination of fast response and performance data for the improvement of gas turbines diagnostic procedures is proposed. The proposed technique is derived from the notion of decision level fusion. Different diagnostic methods provide assessments for the condition of an engine, and the final decision is derived from a combination of these assessments. The diagnostic method of probabilistic neural networks acts independently and in parallel on data of a different nature. The conclusions are given for the first step of the fusion technique and are aggregated deriving the probability consensus. In a second step this consensus is classified within a set of examined faults using the fuzzy set theory and fuzzy logic, thus providing the final diagnostic decision. The effectiveness of the proposed technique is demonstrated through the application to data from a radial and an axial compressor. Copyright © 2008 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.http://hdl.handle.net/123456789/1963010.2514/1.38629234325335ISI:0002644929000090748-4658engAMER INST AERONAUT ASTRONAUTJournal of Propulsion and PowerGas TurbineFault DiagnosisProbabilistic neural networksDiagnostic decisionsFinal decisionFusion techniquesTurbomachineryDiagnostic methodsDecision level fusionFast responseFault diagnosisFuzzy logicFuzzy setsDecision FusionGas turbinesAxial compressorsDecision theoryNeural networksInformation fusion techniquesDiagnostic procedureDecision fusionIndexing (of information)Performance dataGas turbine fault diagnosis using fuzzy-based decision fusionjournalArticle2009Δημοσίευση σε περιοδικόPublication in journalΑεροδιαστημική μηχανικήAerospace Engineeringisi - Engineering, Aerospace includes resources concerned with astronautics, aeronautics, aerospace, and aviation. Topics covered include the design and construction of aircraft, space vehicles, missiles, satellites, instrumentation, and power units, as well as the launch, flight, and guidance of crafts in the earth's atmosphere or in space. Resources in this category draw from many fields, including mechanics and mechanical engineering, automation, instrumentation, and materials science.Επιστημονικό άρθροScientific articleΕθνικό Μετσόβιο ΠολυτεχνείοGreek Aggregator OpenArchives.gr | National Documentation Centre (EKT)other