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2024 Vol.29, Issue 1 Preview Page

Research Article

31 March 2024. pp. 33-38
H.W. Kim, U.H. Jin, Y.G. Go, M.J. Choi, I.Y. Gu, M.H. Baek, K.T. Kim, Shin, D, A Review of Carbon Neutral Gas Turbine Combustion Technology, Journal of The Korean Society of Combustion, 27(2) (2022) 14-38. 10.15231/jksc.2022.27.2.014
D.S. Han, J.M. Seok, J.H. Park, B. Emerson, T. Lieuwen, Doosan Combustion Auto Tuning (DCAT) System for H-Class Gas Turbines, 62th KOSCO Symposium, 2021, 121-122.
V. Panov, Auto-Tuning of Real-Time Dynamic Gas Turbine Models, Proceedings of ASME Turbo Expo, 2014. 10.1115/GT2014-25606
D. Noble, L. Angello, S. Sheppard, J. Kee, B. Emerson, T. Lieuwen, Investigation into advanced combustion system health monitoring, Proceedings of the ASME Turbo Expo, 2019. 10.1115/GT2019-91973
Z. Feng, M. Liang, F. Chu, Recent advances in time-frequency analysis methods for machinery fault diagnosis: A review with application examples, Mechanical Systems and Signal Processing (2013) 38(1) 165-205. 10.1016/j.ymssp.2013.01.017
D. Noble, T. Lieuwen, Advanced Gas Tur- bine Combustor Health Monitoring Using Combustion Dynamics Data, 59th ISA POWID/EPRI Symposium, 2016.
W.J. Song, D.J. Cha, Temporal kurtosis of dynamic pressure signal as a quantitative measure of combustion instability, Appl. Therm. Eng., 104 (2016) 577-586. 10.1016/j.applthermaleng.2016.05.094
S.P. Joo, J.W. Choi, N.K. Kim, M.C. Lee, Zero-crossing rate method as an efficient tool for combustion instability diagnosis, Exp. Thermal Fluid Sci., 123 (2021). 10.1016/j.expthermflusci.2020.110340
J.W. Choi, O. Choi, M.C. Lee, N.K. Kim, On the observation of the transient behavior of gas turbine combustion instability using the entropy analysis of dynamic pressure, Exp. Therm Fluid Science, (2020) 115. 10.1016/j.expthermflusci.2020.110099
J.J. Hwang, M.K. Kim, W.J. Lee, K.W. Min, D.W. Kang, H.S. Kim, Combustion Characteristics of Axial Fuel Staging Nozzles for Gas Turbine Combustors, J. Korean Soc. Combust., 28(4) (2023) 21-29. 10.15231/jksc.2023.28.4.021
S.K. Choi, D.S. Kim, Diagnosis of Comb- ustion Instability in Gas Turbine Combustor Using Auto-Encoder-Based Machine Learning, The KSFM J. Fluid. Machinary., 27(1) (2024) 49-56. 10.5293/kfma.2024.27.1.049
  • Publisher :The Korean Society of Combustion
  • Publisher(Ko) :한국연소학회
  • Journal Title :Journal of the Korean Society of Combustion
  • Journal Title(Ko) :한국연소학회지
  • Volume : 29
  • No :1
  • Pages :33-38
  • Received Date : 2024-03-11
  • Revised Date : 2024-03-13
  • Accepted Date : 2024-03-13