Application of Process Monitoring Based on Inferential Measurement Approach

Zaidi, Salim (2013) Application of Process Monitoring Based on Inferential Measurement Approach. Faculty of Chemical and Natural Resources Engineering, Universiti Malaysia Pahang.

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In this study, a new multivariate method to monitor continuous processes is developed based on the Process Control Analysis (PCA) framework. The objective of the study is to develop A new MSPM method and analyze the monitoring performance of system A and B. In industrial practice, monitoring process are usually performed based on an approximate model. As the number of variables increases, the fault detection performance tends to be slow in progression, as well as, introduce greater complexity in the later stages especially in fault identification and diagnosing. These research implements and analyzes Multiple Linear Regression (MLR) method to a continuous process which simplify the number of variables used. This research also based on the conventional MSPM technique. After that, the developed method was analyzed and finally, all the performance result of the developed method was compared with the conventional method. The monitoring results clearly demonstrate the superiority of the proposed method. The MLR methods show that the fault detection performance improved and better than the conventional method.

Item Type: Undergraduates Project Papers
Additional Information: Project paper (Bachelor of Chemical Engineering) -- Universiti Malaysia Pahang – 2013, SV: DR. MOHD YUSRI MOHD YUNUS, NO. CD: 7118
Uncontrolled Keywords: Process control Statistical methods Regression analysis Multivariate analysis Mathematical statistics
Subjects: T Technology > TS Manufactures
Faculty/Division: Faculty of Chemical & Natural Resources Engineering
Depositing User: Ms Suriati Mohd Adam
Date Deposited: 11 Nov 2014 02:25
Last Modified: 14 Apr 2023 00:13
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