[1] Salilew WM, Abdul Karim ZA, Lemma TA, Fentaye AD, Kyprianidis KG. The Effect of Physical Faults on a Three-Shaft Gas Turbine Performance at Full-and Part-Load Operation. Sensors. 2022;22(19):7150.
[2] Zwebek A, Pilidis P. Degradation effects on combined cycle power plant performance—part I: gas turbine cycle component degradation effects. J Eng Gas Turbines Power. 2003;125(3):651-7.
[3] Gobran M. Off-design performance of solar Centaur-40 gas turbine engine using Simulink. Ain Shams Engineering Journal. 2013;4(2):285-98.
[4] Kurz R, Brun K. Degradation in gas turbine systems. J Eng Gas Turbines Power. 2001;123(1):70-7.
[5] Mohammadi E, Montazeri-Gh M. Simulation of full and part-load performance deterioration of industrial two-shaft gas turbine. Journal of Engineering for Gas Turbines and Power. 2014;136(9):092602.
[6] Ogaji S, Sampath S, Singh R, Probert S. Parameter selection for diagnosing a gas-turbine's performance-deterioration. Applied energy. 2002;73(1):25-46.
[7] Razak A. Industrial gas turbines: performance and operability: Elsevier; 2007.
[8] Evstifeev A, Kazarinov N, Petrov Y, Witek L, Bednarz A. Experimental and theoretical analysis of solid particle erosion of a steel compressor blade based on incubation time concept. Engineering Failure Analysis. 2018;87:15-21.
[9] Kurz R, Brun K. Degradation of gas turbine performance in natural gas service. Journal of Natural Gas Science and Engineering. 2009;1(3):95-102.
[10] Meher-Homji C, Bromley A, Stalder J-P, editors. Gas turbine performance deterioration and compressor washing. Middle East Turbomachinery Symposia 2013 Proceedings; 2013: Turbomachinery Laboratory, Texas A&M Engineering Experiment Station.
[11] Wilcox M, Baldwin R, Garcia-Hernandez A, Brun K. Guideline for gas turbine inlet air filtration systems. Gas Machinery Research Council, Dallas, TX. 2010.
[12] Diakunchak IS. Performance deterioration in industrial gas turbines. Journal of Engineering for Gas Turbines and Power;(United States). 1992;114(2).
[13] Igie U, Diez-Gonzalez P, Giraud A, Minervino O. Evaluating gas turbine performance using machine-generated data: quantifying degradation and impacts of compressor washing. Journal of Engineering for Gas Turbines and Power. 2016;138(12):122601.
[14] Meher-Homji CB, Bromley A, editors. Gas Turbine Axial Compressor Fouling And Washing. Proceedings of the 33rd turbomachinery symposium; 2004: Texas A&M University. Turbomachinery Laboratories.
[15] Aretakis N, Roumeliotis I, Doumouras G, Mathioudakis K. Compressor washing economic analysis and optimization for power generation. Applied energy. 2012;95:77-86.
[16] Doel D. TEMPER—a gas-path analysis tool for commercial jet engines. 1994.
[17] Urban LA. Gas path analysis applied to turbine engine condition monitoring. Journal of Aircraft. 1973;10(7):400-6.
[18] Chen Y-Z, Zhao X-D, Xiang H-C, Tsoutsanis E. A sequential model-based approach for gas turbine performance diagnostics. Energy. 2021;220:119657.
[19] Li J, Ying Y. Gas turbine gas path diagnosis under transient operating conditions: A steady state performance model based local optimization approach. Applied Thermal Engineering. 2020;170:115025.
[20] Ying Y, Li J. An improved performance diagnostic method for industrial gas turbines with consideration of intake and exhaust system. Applied Thermal Engineering. 2023;222:119907.
[21] Zhang Y, Liu P, Li Z. Gas turbine off-design behavior modelling and operation windows analysis under different ambient conditions. Energy. 2023;262:125348.
[22] Nekoonam, A, Montazeri M.Thermodynamic Simulation of Fouling and Erosion in an Industrial Gas Turbine for Power Generation Applications;74(4):53-69. 2023
[23] Volponi AJ, DePold H, Ganguli R, Daguang C. The use of Kalman filter and neural network methodologies in gas turbine performance diagnostics: a comparative study. J Eng Gas Turbines Power. 2003;125(4):917-24.
[24] Alblawi A. Fault diagnosis of an industrial gas turbine based on the thermodynamic model coupled with a multi feedforward artificial neural networks. Energy Reports. 2020;6:1083-96.
[25] Hanachi H, Liu J, Kim IY, Mechefske CK. Hybrid sequential fault estimation for multi-mode diagnosis of gas turbine engines. Mechanical systems and signal processing. 2019;115:255-68.
[26] Talaat M, Gobran M, Wasfi M. A hybrid model of an artificial neural network with thermodynamic model for system diagnosis of electrical power plant gas turbine. Engineering Applications of Artificial Intelligence. 2018;68:222-35.
[27] Zhong S-s, Fu S, Lin L. A novel gas turbine fault diagnosis method based on transfer learning with CNN. Measurement. 2019;137:435-53.
[28] Zhou D, Wei T, Huang D, Li Y, Zhang H. A gas path fault diagnostic model of gas turbines based on changes of blade profiles. Engineering Failure Analysis. 2020;109:104377.
[29] Cloyd ST, Harris Jr AJ. Gas turbine performance: new application and test correction curves: American Society of Mechanical Engineers; 1995.
[30] Walsh PP, Fletcher P. Gas turbine performance: John Wiley & Sons; 2004.
[31] Kim TS. Model-based performance diagnostics of heavy-duty gas turbines using compressor map adaptation. Applied energy. 2018;212:1345-59.
[32] Standardization I. ISO 2314 Gas turbines--Acceptance tests. I; 2009.
[33] Rashidzadeh H, Hosseinalipour SM, Mohammadzadeh A. The SGT-600 industrial twin-shaft gas turbine modeling for mechanical drive applications at the steady state conditions. Journal of Mechanical Science and Technology. 2015;29:4473-81.
[34] Sanaye S, Hosseini S. Prediction of blade life cycle for an industrial gas turbine at off-design conditions by applying thermodynamics, turbo-machinery and artificial neural network models. Energy Reports. 2020;6:1268-85.
[35] Montazeri-Gh M, Nekoonam A. Gas path component fault diagnosis of an industrial gas turbine under different load condition using online sequential extreme learning machine. Engineering Failure Analysis. 2022;135:106115.