Scale-Space Filtering for Qualitative Interpretation of Real-Time Process Data

JOURNAL OF CHEMICAL ENGINEERING OF JAPAN

Tae Suk Chang¹  Sooyoung Eo¹  En Sup Yoon¹  Yong Jin Choe²  Dongil Shin¹ 

[1] School of Chemical Engineering, Seoul National University;LG Chemical Ltd.

关键词: Pattern Recognition;    Change Detection;    Control Chart;    CUSUM Test;    Scale-Space Filtering;   

DOI  :  10.1252/jcej.33.474

来源: Maruzen Company Ltd

【 摘 要 】

References(12)This paper describes a qualitative interpretation method, which is used for extracting qualitative information from numeric sensor data. Firstly, whether any change has occurred in chemical process data is determined by using the CUSUM (CUmulative SUMmation) test. From the sign of the first derivatives of the process variables, sensor patterns can be classified into the seven primitives. Secondly, extraction of the trends of the data employing the modified scale-space filtering is performed. The recursive form reduces the calculation cost of the real-time scale-space filtering and solves the endpoint problem. The proposed method was tested for artificial patterns and the simulated data of a evaporator process, and produced good results.

【 授权许可】

Unknown