Performance-based health monitoring, diagnostics and prognostics for condition-based maintenance of gas turbines: A review
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DOI: 10.1016/j.apenergy.2017.04.048
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- Tsoutsanis, Elias & Meskin, Nader & Benammar, Mohieddine & Khorasani, Khashayar, 2014. "A component map tuning method for performance prediction and diagnostics of gas turbine compressors," Applied Energy, Elsevier, vol. 135(C), pages 572-585.
- Li, Y.G. & Nilkitsaranont, P., 2009. "Gas turbine performance prognostic for condition-based maintenance," Applied Energy, Elsevier, vol. 86(10), pages 2152-2161, October.
- Tsoutsanis, Elias & Meskin, Nader, 2017. "Derivative-driven window-based regression method for gas turbine performance prognostics," Energy, Elsevier, vol. 128(C), pages 302-311.
- Ogaji, S. O. T. & Sampath, S. & Singh, R. & Probert, S. D., 2002. "Parameter selection for diagnosing a gas-turbine's performance-deterioration," Applied Energy, Elsevier, vol. 73(1), pages 25-46, September.
- Lee, Jong Jun & Kang, Do Won & Kim, Tong Seop, 2011. "Development of a gas turbine performance analysis program and its application," Energy, Elsevier, vol. 36(8), pages 5274-5285.
- Tsoutsanis, Elias & Meskin, Nader & Benammar, Mohieddine & Khorasani, Khashayar, 2016. "A dynamic prognosis scheme for flexible operation of gas turbines," Applied Energy, Elsevier, vol. 164(C), pages 686-701.
- Sampath, Suresh & Ogaji, Stephen & Singh, Riti & Probert, Douglas, 2002. "Engine-fault diagnostics:an optimisation procedure," Applied Energy, Elsevier, vol. 73(1), pages 47-70, September.
- Marinai, Luca & Probert, Douglas & Singh, Riti, 2004. "Prospects for aero gas-turbine diagnostics: a review," Applied Energy, Elsevier, vol. 79(1), pages 109-126, September.
- Yu, Youhong & Chen, Lingen & Sun, Fengrui & Wu, Chih, 2007. "Neural-network based analysis and prediction of a compressor's characteristic performance map," Applied Energy, Elsevier, vol. 84(1), pages 48-55, January.
- Palmé, Thomas & Fast, Magnus & Thern, Marcus, 2011. "Gas turbine sensor validation through classification with artificial neural networks," Applied Energy, Elsevier, vol. 88(11), pages 3898-3904.
- Ogaji, S.O.T. & Marinai, L. & Sampath, S. & Singh, R. & Prober, S.D., 2005. "Gas-turbine fault diagnostics: a fuzzy-logic approach," Applied Energy, Elsevier, vol. 82(1), pages 81-89, September.
- Fast, M. & Assadi, M. & De, S., 2009. "Development and multi-utility of an ANN model for an industrial gas turbine," Applied Energy, Elsevier, vol. 86(1), pages 9-17, January.
- Ghorbanian, K. & Gholamrezaei, M., 2009. "An artificial neural network approach to compressor performance prediction," Applied Energy, Elsevier, vol. 86(7-8), pages 1210-1221, July.
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Keywords
Gas turbine; Gas-path faults; Monitoring; Health assessment; Diagnostics; Prognostics;All these keywords.
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