| Deviation problem in gas turbine health monitoring I Loboda, S Yepifanov, Y Feldshteyn Proceedings of IASTED International Conference on Power and Energy Systems, 2004 | 25 | 2004 |
| A generalized fault classification for gas turbine diagnostics at steady states and transients I Loboda, S Yepifanov, Y Feldshteyn | 23 | 2007 |
| A mixed data-driven and model based fault classification for gas turbine diagnosis I Loboda, S Yepifanov Turbo Expo: Power for Land, Sea, and Air 43987, 257-265, 2010 | 22 | 2010 |
| Diagnostic analysis of maintenance data of a gas turbine for driving an electric generator I Loboda, S Yepifanov, Y Feldshteyn Turbo Expo: Power for Land, Sea, and Air 48821, 745-756, 2009 | 18 | 2009 |
| Estimation of performance parameters of turbine engine components using experimental data in parametric uncertainty conditions O Khustochka, S Yepifanov, R Zelenskyi, R Przysowa Aerospace 7 (1), 6, 2020 | 12 | 2020 |
| Gas turbine diagnostics under variable operating conditions I Loboda, Y Feldshteyn, S Yepifanov Turbo Expo: Power for Land, Sea, and Air 4790, 829-837, 2007 | 12 | 2007 |
| Gas turbine fault recognition trustworthiness I Loboda, S Yepifanov Científica 10 (2), 65-74, 2006 | 12 | 2006 |
| On the selection of an optimal pattern recognition technique for gas turbine diagnosis I Loboda, S Yepifanov | 11 | 2013 |
| Mathematical models and methods of effective estimation in multi-objective optimization problems under uncertainties M Ievgen, K Olexandr, U Kateryna, C Sergey, Y Sergiy, U Mykhaylo World Congress of Structural and Multidisciplinary Optimisation, 411-427, 2017 | 10 | 2017 |
| A more realistic scheme of deviation error representation for gas turbine diagnostics I Loboda, S Yepifanov, Y Feldshteyn Int. J. Turbo Jet-Engines 30 (2), 179-189, 2013 | 9 | 2013 |
| Gas path model identification as an instrument of gas turbine diagnosing SV Yepifanov, II Loboda Turbo Expo: Power for Land, Sea, and Air 36843, 371-376, 2003 | 9 | 2003 |
| A benchmarking analysis of a data-driven gas turbine diagnostic approach I Loboda, JL Pérez-Ruiz, S Yepifanov Turbo Expo: Power for Land, Sea, and Air 51128, V006T05A027, 2018 | 8 | 2018 |
| An integrated approach to gas turbine monitoring and diagnostics I Loboda, S Yepifanov, Y Feldshteyn Turbo Expo: Power for Land, Sea, and Air 43123, 359-367, 2008 | 8 | 2008 |
| Modeling the gas turbine engine under its dynamic heating conditions SV Yepifanov, RL Zelenskyi, I Loboda Journal of Engineering for Gas Turbines and Power 137 (3), 2015 | 7 | 2015 |
| Synthesis of turbine engine control and diagnosing systems S Yepifanov, B Kuznetsov, I Bogayenko, G Grabovskiy, V Dyukov, ... Kiev, Ukraine: Technical Publishing, 1998 | 7 | 1998 |
| A comparative analysis of turbine rotor inlet temperature models C Maravilla, S Yepifanov, I Loboda ASME paper GT2011—46161.–10 p, 2011 | 6 | 2011 |
| Ridge estimation and principal component analysis to solve an ill-conditioned problem of estimating unmeasured gas turbine parameters M Shevchenko, S Yepifanov, I Loboda Turbo Expo: Power for Land, Sea, and Air 55188, V004T06A008, 2013 | 5 | 2013 |
| A more realistic scheme of deviation error representation for gas turbine diagnostics I Loboda, S Yepifanov, Y Feldshteyn Turbo Expo: Power for Land, Sea, and Air 44670, 863-872, 2012 | 5 | 2012 |
| A comparative analysis of turbine rotor inlet temperature models CM Herrera, S Yepifanov, I Loboda Turbo Expo: Power for Land, Sea, and Air 54631, 317-327, 2011 | 5 | 2011 |
| A generalized fault classification for gas turbine diagnostics on steady states and transients I Loboda, S Yepifanov, Y Feldshteyn Turbo Expo: Power for Land, Sea, and Air 42371, 725-734, 2006 | 5 | 2006 |
