Please use this identifier to cite or link to this item:
https://doi.org/10.1016/S1570-7946(08)80166-6
DC Field | Value | |
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dc.title | Practical challenges in developing data-driven soft sensors for quality prediction | |
dc.contributor.author | Liu, J. | |
dc.contributor.author | Srinivasan, R. | |
dc.contributor.author | SelvaGuru, PN. | |
dc.date.accessioned | 2014-06-17T07:47:17Z | |
dc.date.available | 2014-06-17T07:47:17Z | |
dc.date.issued | 2008 | |
dc.identifier.citation | Liu, J.,Srinivasan, R.,SelvaGuru, PN. (2008). Practical challenges in developing data-driven soft sensors for quality prediction. Computer Aided Chemical Engineering 25 : 961-966. ScholarBank@NUS Repository. <a href="https://doi.org/10.1016/S1570-7946(08)80166-6" target="_blank">https://doi.org/10.1016/S1570-7946(08)80166-6</a> | |
dc.identifier.isbn | 9780444532275 | |
dc.identifier.issn | 15707946 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/64443 | |
dc.description.abstract | With improved quality control, a refinery plant can operate closer to optimum values. However, real-time measurement of product quality is generally difficult. On-line prediction of quality using frequent process measurements would therefore be beneficial. In this paper, our learnings from developing and deploying a data-driven soft sensor for a refinery unit are presented. Key challenges in developing a practicable soft sensor for actual use in a plant are discussed and our solutions to these presented. Finally, this paper reports results from the online deployment and demonstrates their value for the plant personnel. © 2008 Elsevier B.V. All rights reserved. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/S1570-7946(08)80166-6 | |
dc.source | Scopus | |
dc.subject | neural networks | |
dc.subject | quality prediction | |
dc.subject | Soft sensors | |
dc.type | Article | |
dc.contributor.department | CHEMICAL & BIOMOLECULAR ENGINEERING | |
dc.description.doi | 10.1016/S1570-7946(08)80166-6 | |
dc.description.sourcetitle | Computer Aided Chemical Engineering | |
dc.description.volume | 25 | |
dc.description.page | 961-966 | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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