Academic Journal
a
| العنوان: | a |
|---|---|
| المؤلفون: | Francesco Corona, Michela Mulas, Roberto Baratti, Jose Romagnoli |
| المساهمون: | The Pennsylvania State University CiteSeerX Archives |
| المصدر: | http://www.aidic.it/icheap9/webpapers/216Corona.pdf. |
| المجموعة: | CiteSeerX |
| الوصف: | In this paper, we present an application of data derived approaches for analyzing and monitoring an industrial deethanizer column. The discussed methods are used in visualizing process measurements, extracting operational information and designing an estimation model. Emphasis is given to the modeling of the data obtained with standard paradigms like the Self-Organizing Map (SOM) and the Multi-Layer Perceptron (MLP). Here, the effectiveness of these data-derived techniques is validated on a full-scale application where the goal is to identify significant operational modes and most sensitive process variables before developing an alternative control scheme. 1. |
| نوع الوثيقة: | text |
| وصف الملف: | application/pdf |
| اللغة: | English |
| Relation: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.514.4854; http://www.aidic.it/icheap9/webpapers/216Corona.pdf |
| الاتاحة: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.514.4854 http://www.aidic.it/icheap9/webpapers/216Corona.pdf |
| Rights: | Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
| رقم الانضمام: | edsbas.21295993 |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |