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

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概要

• 論文の詳細を見る

• 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.

• 社団法人 化学工学会の論文

著者

• Yoon En

  School Of Chemical And Biological Engineering Institute Of Chemical Processes Seoul National Univers

• Yoon En

  School Of Chemical Engineering Seoul National University

• Choe Yong

  Lg Chemical Ltd.

• Chang Tae

  School Of Chemical Engineering Seoul National University

• EO Sooyoung

  School of Chemical Engineering, Seoul National University

• SHIN Dongil

  School of Chemical Engineering, Seoul National University

• Eo Sooyoung

  School Of Chemical Engineering Seoul National University

• Shin Dongil

  School Of Chemical Engineering Seoul National University

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