[2002. 10. 26.] 박사과정 조현우, IJIE 학회 발표

Cho, H. and Kim, K., "A New Statistical Approach to Diagnosing Batch Processes," The 7th Annual International Conference, Busan, Korea, October 24-26, 2002.

<요약문>
To solve the diagnosis problem of a batch process, a new statistical diagnosis method based on Fisher discriminant analysis (FDA) is proposed in this work. The proposed method utilizes FDA to produce an empirical model, against which future behavior of a new batch is referenced in order to determine an assignable cause of a fault. To construct the empirical model, called a discriminant model, we utilize various batch runs with its assignable causes identified. The diagnosis performance of the proposed method is demonstrated using the data from PVC batch processes. The proposed method is shown to produce a reliable diagnosis performance and stable one especially at the onset of a fault.