http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Hanming Fang,Aishe Shui,Fuxing Zong,Yuheng Wu 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.10
Aiming at the problem of extracting steady-state data automatically and rapidly from the process data which contains outliers, a rapid steady-state data extracting method fusing outliers detection based on automatic piecewise curve fitting is proposed. Firstly, the method carries out outliers detection according to local deviation and replaces it with grey theory. Then the noise is minimized through sliding mean filter and the quasi-steady-state data is extracted rapidly by involved rules. Lastly, the quasi-steady-state data is further judged by automatic piecewise curve fitting. The simulation test shows that the proposed method can not only eliminate the effect of outliers and noise, but also extract the steady-state data conforming to human’s experience quickly and efficiently.