On-line batch process monitoring using different unfolding method and independent component analysis
SCIE
SCOPUS
- Title
- On-line batch process monitoring using different unfolding method and independent component analysis
- Authors
- Lee, JM; Yoo, C; Lee, IB
- Date Issued
- 2003-11
- Publisher
- SOC CHEMICAL ENG JAPAN
- Abstract
- In many industries, the effective monitoring and control of batch processes is crucial to the production of high-quality materials. Several techniques using multivariate statistical analysis have been developed for monitoring and fault detection of batch processes. Multiway principal component analysis (MPCA) has shown a powerful monitoring performance in many industrial batch processes. However, it has shortcomings that all batch lengths should be equalized and future values of batches should be estimated for on-line monitoring. In order to overcome these drawbacks and obtain better monitoring performance, we propose a new statistical method for on-line batch process monitoring that uses different unfolding method and independent component analysis (ICA). If the measured data set contains non-Gaussian latent variables, the ICA solution can extract the original source signal to a much greater extent than the PCA solution since ICA involves higher-order statistics and is not based on the assumption that the latent variables follow a multivariate Gaussian distribution. The proposed monitoring method was applied to fault detection and identification in the simulation benchmark of the fed-batch penicillin production, which is characterized by some fault sources with non-Gaussian characteristics. The simulation results clearly show the power and advantages of the proposed method in comparison to MPCA.
- Keywords
- batch monitoring; fault detection; independent component analysis (ICA); kernel density estimation; principal component analysis (PCA); process monitoring; MULTIVARIATE STATISTICAL-ANALYSIS; PENICILLIN PRODUCTION; FAULT-DETECTION; FERMENTATION; SUPERVISION; DIAGNOSIS; CHARTS; PCA
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/18221
- DOI
- 10.1252/jcej.36.1384
- ISSN
- 0021-9592
- Article Type
- Article
- Citation
- JOURNAL OF CHEMICAL ENGINEERING OF JAPAN, vol. 36, no. 11, page. 1384 - 1396, 2003-11
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