경험 모델을 이용한 발전기 출력 손실량 추정에 관한 연구
Study on the Estimation of Generator Power Output Loss using Empirical Model
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In this paper, we studied the applicability of data driven model, AAKR(Auto-Associative Kernel Regression) for generator power loss estimation. Correlation analysis performed on 39 turbine system variables for dataset construction and then 13 variables were selected as highly correlated with generator power output. For a memory vector, 95~100% thermal power section data were used and data at normal power condition for 3 month were extracted for query vector. Analysis result shows that 9 variables show good prediction between measured and estimated data, 2 variables show good correlation but with small bias and 2 variables show increasing difference and low correlation with the passage of time, which assumed to be cause of electric output loss.
Abstract
In this paper, we studied the applicability of data driven model, AAKR(Auto-Associative Kernel Regression) for generator power loss estimation. Correlation analysis performed on 39 turbine system variables for dataset construction and then 13 variables were selected as highly correlated with generator power output. For a memory vector, 95~100% thermal power section data were used and data at normal power condition for 3 month were extracted for query vector. Analysis result shows that 9 variables show good prediction between measured and estimated data, 2 variables show good correlation but with small bias and 2 variables show increasing difference and low correlation with the passage of time, which assumed to be cause of electric output loss.
참고문헌 (4)
- Technical Review of On- Line Monitoring Techniques for Performance Assessment, "Hines, J. W.", ~, pp.NUREG, CR- 6895, Vol. 2
- An, S. H., "Detection of process anomalies using an improved statistical learning framework", Expert Systems with Applications, 38, pp.1356~1363 (2011)
- 정재영, "오신호 입력에 따른 펌프의 고장징후 조기감지 성능분석", 동력시스템공학회지, 20(2), pp.66~72 (2016), 한국동력기계공학회[DOI]
- 박기범, "AAKR을 이용한 원자력 발전소 고장 패턴 추출에 관한 연구", 한국압력기기공학회 논문집, 13(1), pp.40~47 (2017), 한국압력기기공학회[DOI]