| Title |
Verification Model of the Feedwater Flow for the Calculation of Corrective Performance of Turbine Cycle |
| Authors |
김성근(Seong-Kun Kim) ; 양학진(Hac-Jin Yang) ; 이강희(Kang-Hee Lee) ; 최광희(Kwang-Hee Choi) |
| DOI |
http://dx.doi.org/10.6110/KJACR.2012.24.6.538 |
| Keywords |
측정 판별 ; 측정 유효화 ; 서포트 벡터 머신 ; 터빈 사이클 Measurement classification ; Measurement validation ; Support vector machine ; Turbine cycle |
| Abstract |
Analysis of thermal performance is required for the economic operation of turbine cycle of power plant. We developed corrective model of main feed water flow which is the most important parameter for the precise analysis of turbine cycle performance. Classification model for the identification of feed water flow measurement status was applied to increase the suitability of the corrective model. We used neural network and support vector machine to develop estimation model of main feed water flow with more generalization capability. The estimation model can be used practically to evaluate corrective performance of turbine cycle plant. |