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Prethodno priopćenje
https://doi.org/10.17559/TV-20140312135635

Automatic identification of causal knowledge and causal graphs in technical systems of process ventilators

Senad Alić ; University of Zenica, Polytechnical Faculty, Fakultetska 1, 72000 Zenica, Bosnia and Herzegovina
Sabahudin Jašarević   ORCID icon orcid.org/0000-0002-0692-1121 ; University of Zenica, Faculty of Mechanical Engineering, Fakultetska 1, 72000 Zenica, Bosnia and Herzegovina
Safet Brdarević ; University of Zenica, Faculty of Mechanical Engineering, Fakultetska 1, 72000 Zenica, Bosnia and Herzegovina
Mustafa Imamović ; Arcelor Mittal Zenica, Bosnia and Herzegovina
Indir Jaganjac ; Arcelor Mittal Zenica, Bosnia and Herzegovina

Puni tekst: engleski, pdf (5 MB) str. 539-546 preuzimanja: 259* citiraj
APA 6th Edition
Alić, S., Jašarević, S., Brdarević, S., Imamović, M. i Jaganjac, I. (2016). Automatic identification of causal knowledge and causal graphs in technical systems of process ventilators. Tehnički vjesnik, 23 (2), 539-546. https://doi.org/10.17559/TV-20140312135635
MLA 8th Edition
Alić, Senad, et al. "Automatic identification of causal knowledge and causal graphs in technical systems of process ventilators." Tehnički vjesnik, vol. 23, br. 2, 2016, str. 539-546. https://doi.org/10.17559/TV-20140312135635. Citirano 28.02.2021.
Chicago 17th Edition
Alić, Senad, Sabahudin Jašarević, Safet Brdarević, Mustafa Imamović i Indir Jaganjac. "Automatic identification of causal knowledge and causal graphs in technical systems of process ventilators." Tehnički vjesnik 23, br. 2 (2016): 539-546. https://doi.org/10.17559/TV-20140312135635
Harvard
Alić, S., et al. (2016). 'Automatic identification of causal knowledge and causal graphs in technical systems of process ventilators', Tehnički vjesnik, 23(2), str. 539-546. https://doi.org/10.17559/TV-20140312135635
Vancouver
Alić S, Jašarević S, Brdarević S, Imamović M, Jaganjac I. Automatic identification of causal knowledge and causal graphs in technical systems of process ventilators. Tehnički vjesnik [Internet]. 2016 [pristupljeno 28.02.2021.];23(2):539-546. https://doi.org/10.17559/TV-20140312135635
IEEE
S. Alić, S. Jašarević, S. Brdarević, M. Imamović i I. Jaganjac, "Automatic identification of causal knowledge and causal graphs in technical systems of process ventilators", Tehnički vjesnik, vol.23, br. 2, str. 539-546, 2016. [Online]. https://doi.org/10.17559/TV-20140312135635
Puni tekst: hrvatski, pdf (5 MB) str. 539-546 preuzimanja: 164* citiraj
APA 6th Edition
Alić, S., Jašarević, S., Brdarević, S., Imamović, M. i Jaganjac, I. (2016). Automatska identifikacija uzročnog znanja i uzročnih grafova u tehničkim sustavima procesnih ventilatora. Tehnički vjesnik, 23 (2), 539-546. https://doi.org/10.17559/TV-20140312135635
MLA 8th Edition
Alić, Senad, et al. "Automatska identifikacija uzročnog znanja i uzročnih grafova u tehničkim sustavima procesnih ventilatora." Tehnički vjesnik, vol. 23, br. 2, 2016, str. 539-546. https://doi.org/10.17559/TV-20140312135635. Citirano 28.02.2021.
Chicago 17th Edition
Alić, Senad, Sabahudin Jašarević, Safet Brdarević, Mustafa Imamović i Indir Jaganjac. "Automatska identifikacija uzročnog znanja i uzročnih grafova u tehničkim sustavima procesnih ventilatora." Tehnički vjesnik 23, br. 2 (2016): 539-546. https://doi.org/10.17559/TV-20140312135635
Harvard
Alić, S., et al. (2016). 'Automatska identifikacija uzročnog znanja i uzročnih grafova u tehničkim sustavima procesnih ventilatora', Tehnički vjesnik, 23(2), str. 539-546. https://doi.org/10.17559/TV-20140312135635
Vancouver
Alić S, Jašarević S, Brdarević S, Imamović M, Jaganjac I. Automatska identifikacija uzročnog znanja i uzročnih grafova u tehničkim sustavima procesnih ventilatora. Tehnički vjesnik [Internet]. 2016 [pristupljeno 28.02.2021.];23(2):539-546. https://doi.org/10.17559/TV-20140312135635
IEEE
S. Alić, S. Jašarević, S. Brdarević, M. Imamović i I. Jaganjac, "Automatska identifikacija uzročnog znanja i uzročnih grafova u tehničkim sustavima procesnih ventilatora", Tehnički vjesnik, vol.23, br. 2, str. 539-546, 2016. [Online]. https://doi.org/10.17559/TV-20140312135635

Sažetak
This research paper presents the approach of automated computerized identification of causal knowledge and causal graphs using monitoring of vibrations and temperatures of sliding bearings of high-power and high-speed process ventilators. Method of Granger causal connectivity analysis of vibration and temperature parameters is presented. This method improves diagnostics of process ventilators because of identification of causal relations and links of vibrations and temperatures in graph form. After computing and plotting causal graphs for vibrations and temperatures, causal density is computed as a measure of dynamical complexity of system. Numerical values of causal density are taken as indicators of systems "health" of process ventilators.

Ključne riječi
causal density; causal graph; Granger causal analysis; process ventilators; sliding bearings

Hrčak ID: 156852

URI
https://hrcak.srce.hr/156852

[hrvatski]

Posjeta: 746 *