| 학회 |
한국화학공학회 |
| 학술대회 |
2018년 봄 (04/25 ~ 04/27, 창원컨벤션센터) |
| 권호 |
24권 1호, p.210 |
| 발표분야 |
공정시스템 |
| 제목 |
Functional PCA기반 SBR공정 배치 모니터링 및 해석 |
| 초록 |
Functional Principle component analysis (FPCA) is a data-mining technique use to obtain information from the large multidimensional dataset. It assumes data as discrete measurement of a function and data is converted into parameters by functions so variance and chances of uncertainty in analysis is also reduced. In This work FPCA is successfully applied for on-line monitoring of a sequencing batch reactor (SBR). We used pH-time cycle to monitor the batches of SBR, from pH time- cycle we can get Ammonia Valley and nitrate Apex functions, on which we applied FPCA for the batch monitoring. The results of the FPCA showed that pH- time cycle is a more reliable parameter to monitor the batches of SBR process. Acknowledgements: This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government(MSIT). (No. NRF-2017R1E1A1A03070713). |
| 저자 |
Sial Qadeer, Usman, 남기전, 유창규
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| 소속 |
경희대 |
| 키워드 |
화학 및 생물공정; 공정최적화; 공정모사; 공정제어
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| E-Mail |
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| 원문파일 |
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