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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ng Yew Seng Yu Weihao Srinivasan, R. |
| Copyright Year | 2006 |
| Description | Author affiliation: Nat. Univ. of Singapore, Singapore (Ng Yew Seng; Yu Weihao; Srinivasan, R.) |
| Abstract | The process industries have increasingly focused on the domain of agile manufacturing to increase their competitiveness globally. Agile plants operate in a number of modes and frequently switch between them. The process of mode switching is termed as process transition. This paper seeks to optimize transition operations by developing a methodology to identify and classify different types of transitions from continuous production data. Traditional data analysis methods perform poorly on multi-state temporal signals, so, a new method based on principal component analysis is proposed for transition classification. By analyzing previous plant operating data, different instances of a transition can be identified. Good operating strategies are then extracted by comparing the instances. A self-organizing map based method is also proposed for visualization of process transitions. We illustrate the proposed transitions classification and performance analysis methods by application to a refinery hydro-cracker. |
| Starting Page | 1338 |
| Ending Page | 1343 |
| File Size | 5094629 |
| Page Count | 6 |
| File Format | |
| ISBN | 1424407257 |
| DOI | 10.1109/ICIT.2006.372576 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-12-15 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Performance analysis Manufacturing industries Switches Agile manufacturing Optimization methods Continuous production Data analysis Principal component analysis Data mining Data visualization transition performance analysis state-identification classification |
| Content Type | Text |
| Resource Type | Article |
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