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Pregled bibliografske jedinice broj: 497714

Soft Sensor For Continuous Product Quality Estimation (In Crude Distillation Unit)


Rogina, Anamarija; Šiško, Ivana; Mohler, Ivan; Ujević, Željka; Bolf, Nenad
Soft Sensor For Continuous Product Quality Estimation (In Crude Distillation Unit) // Chemical engineering research & design, 89 (2011), 10; 2070-2077 doi:10.1016/j.cherd.2011.01.003 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 497714 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Soft Sensor For Continuous Product Quality Estimation (In Crude Distillation Unit)

Autori
Rogina, Anamarija ; Šiško, Ivana ; Mohler, Ivan ; Ujević, Željka ; Bolf, Nenad

Izvornik
Chemical engineering research & design (0263-8762) 89 (2011), 10; 2070-2077

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
crude distillation unit; vapor pressure; soft sensor; neural network

Sažetak
Due to the strict norm requirements of keeping products in crude refining units within specifications, laboratory testing and quality control of the products are necessary. Given this reason, virtual soft sensor for continuous quality estimation of light naphtha as the crude distillation unit (CDU) product was developed. Experimental data included available continuous measurements of CDU process streams (temperatures, pressures and flowrate) and laboratory analyses undertaken twice a day. The results are soft sensor models for light naphtha vapor pressure (RVP) estimation. Soft sensor models have been developed conducting multiple linear regression analysis and using neural network-based models such as LNN, MLP and RBF. Considering statistical and sensitivity analysis, the best results for both oils were obtained with MLP and RBF neural networks. The results show possible application of the soft sensor models for estimating light naphtha RVP as an alternative for laboratory testing.

Izvorni jezik
Engleski

Znanstvena područja
Kemijsko inženjerstvo



POVEZANOST RADA


Projekti:
125-1251963-1964 - Softverski senzori i analizatori za motrenje i vođenje procesa (Bolf, Nenad, MZOS ) ( CroRIS)

Ustanove:
Fakultet kemijskog inženjerstva i tehnologije, Zagreb

Poveznice na cjeloviti tekst rada:

doi ac.els-cdn.com www.sciencedirect.com dx.doi.org

Citiraj ovu publikaciju:

Rogina, Anamarija; Šiško, Ivana; Mohler, Ivan; Ujević, Željka; Bolf, Nenad
Soft Sensor For Continuous Product Quality Estimation (In Crude Distillation Unit) // Chemical engineering research & design, 89 (2011), 10; 2070-2077 doi:10.1016/j.cherd.2011.01.003 (međunarodna recenzija, članak, znanstveni)
Rogina, A., Šiško, I., Mohler, I., Ujević, Ž. & Bolf, N. (2011) Soft Sensor For Continuous Product Quality Estimation (In Crude Distillation Unit). Chemical engineering research & design, 89 (10), 2070-2077 doi:10.1016/j.cherd.2011.01.003.
@article{article, author = {Rogina, Anamarija and \v{S}i\v{s}ko, Ivana and Mohler, Ivan and Ujevi\'{c}, \v{Z}eljka and Bolf, Nenad}, year = {2011}, pages = {2070-2077}, DOI = {10.1016/j.cherd.2011.01.003}, keywords = {crude distillation unit, vapor pressure, soft sensor, neural network}, journal = {Chemical engineering research and design}, doi = {10.1016/j.cherd.2011.01.003}, volume = {89}, number = {10}, issn = {0263-8762}, title = {Soft Sensor For Continuous Product Quality Estimation (In Crude Distillation Unit)}, keyword = {crude distillation unit, vapor pressure, soft sensor, neural network} }
@article{article, author = {Rogina, Anamarija and \v{S}i\v{s}ko, Ivana and Mohler, Ivan and Ujevi\'{c}, \v{Z}eljka and Bolf, Nenad}, year = {2011}, pages = {2070-2077}, DOI = {10.1016/j.cherd.2011.01.003}, keywords = {crude distillation unit, vapor pressure, soft sensor, neural network}, journal = {Chemical engineering research and design}, doi = {10.1016/j.cherd.2011.01.003}, volume = {89}, number = {10}, issn = {0263-8762}, title = {Soft Sensor For Continuous Product Quality Estimation (In Crude Distillation Unit)}, keyword = {crude distillation unit, vapor pressure, soft sensor, neural network} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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