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Pregled bibliografske jedinice broj: 1157514

Fouling detection in industrial heat exchanger using number of transfer units method, neural network and nonlinear finite impulse response models


Ujević Andrijić, Željka; Bolf, Nenad; Rimac, Nikola; Brzović, Adriana
Fouling detection in industrial heat exchanger using number of transfer units method, neural network and nonlinear finite impulse response models // Heat transfer engineering, 43 (2022), 21; 1852-1866 doi:10.1080/01457632.2021.2016149 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1157514 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Fouling detection in industrial heat exchanger using number of transfer units method, neural network and nonlinear finite impulse response models

Autori
Ujević Andrijić, Željka ; Bolf, Nenad ; Rimac, Nikola ; Brzović, Adriana

Izvornik
Heat transfer engineering (0145-7632) 43 (2022), 21; 1852-1866

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

Ključne riječi
fouling detection ; neural network ; heat exchanger

Sažetak
Due to reduced energy efficiency and productivity loss caused by fouled heat exchangers in industrial plants there is an obvious need for detection of fouling formation. Based on continuously measured temperatures and flow rates collected from the refinery plant history database, a semi-empirical number of transfer units (NTU) model and neural network-based models are developed. In order to confirm the reliability of proposed fouling factor calculation, the entire procedure was performed by developing a dynamic nonlinear finite impulse response (NFIR) model. Developed models are intended for fouling detection for industrial shell and tube heat exchangers. The performance criteria of developed models together with residual monitoring indicate that not only neural networks but the NTU and NFIR models effectively detect fouling formation.

Izvorni jezik
Engleski

Znanstvena područja
Kemijsko inženjerstvo



POVEZANOST RADA


Ustanove:
Fakultet kemijskog inženjerstva i tehnologije, Zagreb

Profili:

Avatar Url Željka Ujević Andrijić (autor)

Avatar Url Nikola Rimac (autor)

Avatar Url Nenad Bolf (autor)

Poveznice na cjeloviti tekst rada:

doi dx.doi.org www.tandfonline.com

Citiraj ovu publikaciju:

Ujević Andrijić, Željka; Bolf, Nenad; Rimac, Nikola; Brzović, Adriana
Fouling detection in industrial heat exchanger using number of transfer units method, neural network and nonlinear finite impulse response models // Heat transfer engineering, 43 (2022), 21; 1852-1866 doi:10.1080/01457632.2021.2016149 (međunarodna recenzija, članak, znanstveni)
Ujević Andrijić, Ž., Bolf, N., Rimac, N. & Brzović, A. (2022) Fouling detection in industrial heat exchanger using number of transfer units method, neural network and nonlinear finite impulse response models. Heat transfer engineering, 43 (21), 1852-1866 doi:10.1080/01457632.2021.2016149.
@article{article, author = {Ujevi\'{c} Andriji\'{c}, \v{Z}eljka and Bolf, Nenad and Rimac, Nikola and Brzovi\'{c}, Adriana}, year = {2022}, pages = {1852-1866}, DOI = {10.1080/01457632.2021.2016149}, keywords = {fouling detection, neural network, heat exchanger}, journal = {Heat transfer engineering}, doi = {10.1080/01457632.2021.2016149}, volume = {43}, number = {21}, issn = {0145-7632}, title = {Fouling detection in industrial heat exchanger using number of transfer units method, neural network and nonlinear finite impulse response models}, keyword = {fouling detection, neural network, heat exchanger} }
@article{article, author = {Ujevi\'{c} Andriji\'{c}, \v{Z}eljka and Bolf, Nenad and Rimac, Nikola and Brzovi\'{c}, Adriana}, year = {2022}, pages = {1852-1866}, DOI = {10.1080/01457632.2021.2016149}, keywords = {fouling detection, neural network, heat exchanger}, journal = {Heat transfer engineering}, doi = {10.1080/01457632.2021.2016149}, volume = {43}, number = {21}, issn = {0145-7632}, title = {Fouling detection in industrial heat exchanger using number of transfer units method, neural network and nonlinear finite impulse response models}, keyword = {fouling detection, neural network, heat exchanger} }

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


Uključenost u ostale bibliografske baze podataka::


  • CA Search (Chemical Abstracts)


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