No AccessGas turbine engine and sensor multiple operating point analysis using optimization techniquesA. Gulati, M. Zedda and R. SinghA. GulatiCranfield Univ., United KingdomSearch for more papers by this author, M. ZeddaCranfield Univ., United KingdomSearch for more papers by this author and R. SinghCranfield Univ., United KingdomSearch for more papers by this authorPublished Online:22 Aug 2012https://doi.org/10.2514/6.2000-3716SectionsRead Now ToolsAdd to favoritesDownload citationTrack citations ShareShare onFacebookXLinked InRedditEmail About Previous chapter Next chapter FiguresReferencesRelatedDetailsSee PDF for referencesCited byPerformance Degradation Evaluation of Low Bypass Ratio Turbofan Engine Based on Flight Data1 July 2022 | Sustainability, Vol. 14, No. 13A Review on Gas Turbine Gas-Path Diagnostics: State-of-the-Art Methods, Challenges and Opportunities23 July 2019 | Aerospace, Vol. 6, No. 7Diagnostics of power setting sensor fault of gas turbine engines using genetic algorithm3 July 2017 | The Aeronautical Journal, Vol. 121, No. 1242A symbolic reasoning based anomaly detection for gas turbine subsystems1 Jul 2017Anomaly Detection in Gas Turbine Fuel Systems Using a Sequential Symbolic Method20 May 2017 | Energies, Vol. 10, No. 5Early Fault Detection of Hot Components in Gas Turbines13 September 2016 | Journal of Engineering for Gas Turbines and Power, Vol. 139, No. 2Study on gas turbine engine fault diagnostic approach with a hybrid of gray relation theory and gas-path analysis22 January 2016 | Advances in Mechanical Engineering, Vol. 8, No. 1Simulation of Full and Part-Load Performance Deterioration of Industrial Two-Shaft Gas Turbine18 April 2014 | Journal of Engineering for Gas Turbines and Power, Vol. 136, No. 9Numerical Analysis of the Effects of Nonuniform Surface Roughness on Compressor Stage Performance24 March 2011 | Journal of Engineering for Gas Turbines and Power, Vol. 133, No. 7Gas Turbine Performance and Health Status Estimation Using Adaptive Gas Path Analysis25 January 2010 | Journal of Engineering for Gas Turbines and Power, Vol. 132, No. 4Influence of Blade Deterioration on Compressor and Turbine Performance24 November 2009 | Journal of Engineering for Gas Turbines and Power, Vol. 132, No. 3Gas turbine performance prognostic for condition-based maintenance1 Oct 2009 | Applied Energy, Vol. 86, No. 10Evolution strategy for gas-turbine fault-diagnoses1 Jun 2005 | Applied Energy, Vol. 81, No. 2The Role of Gas Path Diagnostics in the Changing Gas Turbine After-market10 August 2023 | Journal of Aerospace Sciences and TechnologiesProspects for aero gas-turbine diagnostics: a review1 Sep 2004 | Applied Energy, Vol. 79, No. 1Engine-fault diagnostics:an optimisation procedure1 Sep 2002 | Applied Energy, Vol. 73, No. 1Artificial Intelligence Techniques for Gas Turbine Engine Fault DiagnosticsSuresh Sampath, Ankush Gulati and Riti Singh26 June 2012Novel approach for improving power-plant availability using advanced engine diagnostics1 May 2002 | Applied Energy, Vol. 72, No. 1A hybrid neural network-genetic algorithm technique for aircraft engine performance diagnosticsTakahisa Kobatashi and Donald Simon22 August 2012 What's Popular 36th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit 24 July 2000 - 28 July 2000Las Vegas,NV,U.S.A.https://doi.org/10.2514/6.2000-3716 Crossmark TopicsAeronauticsAirbreathing Jet EngineAircraft EnginesAvionicsControl TheoryFault Detection and IsolationGas TurbineGuidance, Navigation, and Control SystemsKalman FilterPropulsion and PowerSensorsTransducersTurbinesTurbomachinery KeywordsGas Turbine EnginesSensorsGenetic AlgorithmPareto OptimalityTurbofan EnginesBypass RatioExtended Kalman FilterHigh Pressure TurbineDischarge CoefficientSearch AlgorithmDigital Topics Joint Propulsion