Predictive assessment of diesel fuel quality based on wavelet transformations
dc.citation.epage | 10 | |
dc.citation.issue | 2 | |
dc.citation.journalTitle | Вимірювальна техніка та метрологія | |
dc.citation.spage | 5 | |
dc.contributor.affiliation | Lviv Polytechnic National University | |
dc.contributor.affiliation | Lviv State University of Life Safety | |
dc.contributor.author | Shpak, Oksana | |
dc.contributor.author | Velykiy, Nazariy | |
dc.coverage.placename | Львів | |
dc.coverage.placename | Lviv | |
dc.date.accessioned | 2024-03-11T08:54:04Z | |
dc.date.available | 2024-03-11T08:54:04Z | |
dc.date.created | 2023-02-28 | |
dc.date.issued | 2023-02-28 | |
dc.description.abstract | The principle of device operation for determining the quality control of diesel fuel is considered, which helps to investigate the spectral characteristics of diesel fuel. Basic wavelet transformations are given. IR spectroscopy of diesel fuel from different producing countries was carried out, and determination of the cetane number through wavelet coefficients and determining conclusion diesel fuel quality were performed. | |
dc.format.extent | 5-10 | |
dc.format.pages | 6 | |
dc.identifier.citation | Shpak O. Predictive assessment of diesel fuel quality based on wavelet transformations / Oksana Shpak, Nazariy Velykiy // Measuring Equipment and Metrology. — Lviv : Lviv Politechnic Publishing House, 2023. — Vol 84. — No 2. — P. 5–10. | |
dc.identifier.citationen | Shpak O. Predictive assessment of diesel fuel quality based on wavelet transformations / Oksana Shpak, Nazariy Velykiy // Measuring Equipment and Metrology. — Lviv : Lviv Politechnic Publishing House, 2023. — Vol 84. — No 2. — P. 5–10. | |
dc.identifier.doi | doi.org/10.23939/istcmtm2023.02.005 | |
dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/61425 | |
dc.language.iso | en | |
dc.publisher | Видавництво Львівської політехніки | |
dc.publisher | Lviv Politechnic Publishing House | |
dc.relation.ispartof | Вимірювальна техніка та метрологія, 2 (84), 2023 | |
dc.relation.ispartof | Measuring Equipment and Metrology, 2 (84), 2023 | |
dc.relation.references | [1] The method of controlling the quality of diesel fuel: Pat No.77043. Ukraine. IPC G1N 33/22 / O. I. Shpak. No. u 2012 08725; Application 16.07.2011; Publ. 25.01.2013. Bul. No. 2. 6 p. | |
dc.relation.references | [2] P. Djahani, J. Kahn Analysis of infrared wireless links employing multi-beam transmitters and imaging diversity receivers Global Telecom. Conf. GLOBECOM'99 (Cat. No. 99CH37042) 5–9 Dec. 1999. DOI: 10.1109/GLOCOM.1999. | |
dc.relation.references | [3] V. W. Vermehren, H. M. de Oliveira. Close expressions for Meyer Wavelet and Scale Functional DOI: https://doi.org/10.48550/arXiv.1502.00161. | |
dc.relation.references | [4] Xuyin Zhang; Kaixia Deng; Yao Han. The image space of Meyer wavelet transform Proceedings of 2013 2nd International Conference on Measurement, Information, and Control Aug. 16–18. 2013, Vol. 2. DOI: 10.1109/MIC. 2013.6758159. | |
dc.relation.references | [5] M. Misiti, Y. Misiti, G. Oppenheim, J.-M. Poggi. Wavelet Toolbox. URL: https://courses.washington.edu/me333afe/Wavelet_Toolbox_Misiti_Ch1.pdf. | |
dc.relation.references | [6] Hui Li. Complex Morlet wavelet amplitude and phase map, based bearing fault diagnosis 8th World Congress on Intelligent Control and Automation (WCICA), 7–9 July 2010. DOI: 10.1109/WCICA.2010.5554232. | |
dc.relation.references | [7] S. E. N. Correia; J. M. de Carvalho Optimizing the recognition rates of unconstrained handwritten numerals using biorthogonal spline wavelets Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 3–7 Sept. 2000, Vol. 4. DOI: 10.1109/ICPR.2000.906060. | |
dc.relation.references | [8] DSTU 7688-2015 “Diesel fuel Euro. Technical conditions” [Effective from 2016-01-01]. Kyiv: UkrNDNC, 2015. 15 p. (National Standard of Ukraine). URL: http://online.budstandart.com/ua/catalog/docpage?id_doc=62099. | |
dc.relation.references | [9] István Péter Kondor, Máté Zöldy, Dénes Mihály Experimental Investigation on the Performance and Emission Characteristics of a Compression Ignition Engine Using Waste-Based Tire Pyrolysis Fuel and Diesel Fuel Blends Energies 2021, 14(23), 7903. DOI: https://doi.org/10.3390/en14237903. | |
dc.relation.references | [10] Thermo Scientific Nicolet iS10 FT-IR Spectrometer. URL: https://www.tecnofrom.com/moduloProductos/noti_114/file.pdf | |
dc.relation.references | [11] Device for determining diesel fuel quality control: patent application No. C-2255, Ukraine / O. I. Shpak, 09/29/2022. Ukraine. Lviv, 2022. | |
dc.relation.references | [12] S. Glushkov, V. Zhidkikh. The choice of a wavelet-forming function for the analysis of the dynamic characteristics of the internal combustion engine signal. URL: https://cyberleninka.ru/article/n/vybor-veyvlet-obrazuyuschey-funktsii-dlyaanaliza-dinamicheskih-harakteristik-signala-dvigatelyavnutrennego-sgoraniya/viewer. | |
dc.relation.referencesen | [1] The method of controlling the quality of diesel fuel: Pat No.77043. Ukraine. IPC G1N 33/22, O. I. Shpak. No. u 2012 08725; Application 16.07.2011; Publ. 25.01.2013. Bul. No. 2. 6 p. | |
dc.relation.referencesen | [2] P. Djahani, J. Kahn Analysis of infrared wireless links employing multi-beam transmitters and imaging diversity receivers Global Telecom. Conf. GLOBECOM'99 (Cat. No. 99CH37042) 5–9 Dec. 1999. DOI: 10.1109/GLOCOM.1999. | |
dc.relation.referencesen | [3] V. W. Vermehren, H. M. de Oliveira. Close expressions for Meyer Wavelet and Scale Functional DOI: https://doi.org/10.48550/arXiv.1502.00161. | |
dc.relation.referencesen | [4] Xuyin Zhang; Kaixia Deng; Yao Han. The image space of Meyer wavelet transform Proceedings of 2013 2nd International Conference on Measurement, Information, and Control Aug. 16–18. 2013, Vol. 2. DOI: 10.1109/MIC. 2013.6758159. | |
dc.relation.referencesen | [5] M. Misiti, Y. Misiti, G. Oppenheim, J.-M. Poggi. Wavelet Toolbox. URL: https://courses.washington.edu/me333afe/Wavelet_Toolbox_Misiti_Ch1.pdf. | |
dc.relation.referencesen | [6] Hui Li. Complex Morlet wavelet amplitude and phase map, based bearing fault diagnosis 8th World Congress on Intelligent Control and Automation (WCICA), 7–9 July 2010. DOI: 10.1109/WCICA.2010.5554232. | |
dc.relation.referencesen | [7] S. E. N. Correia; J. M. de Carvalho Optimizing the recognition rates of unconstrained handwritten numerals using biorthogonal spline wavelets Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 3–7 Sept. 2000, Vol. 4. DOI: 10.1109/ICPR.2000.906060. | |
dc.relation.referencesen | [8] DSTU 7688-2015 "Diesel fuel Euro. Technical conditions" [Effective from 2016-01-01]. Kyiv: UkrNDNC, 2015. 15 p. (National Standard of Ukraine). URL: http://online.budstandart.com/ua/catalog/docpage?id_doc=62099. | |
dc.relation.referencesen | [9] István Péter Kondor, Máté Zöldy, Dénes Mihály Experimental Investigation on the Performance and Emission Characteristics of a Compression Ignition Engine Using Waste-Based Tire Pyrolysis Fuel and Diesel Fuel Blends Energies 2021, 14(23), 7903. DOI: https://doi.org/10.3390/en14237903. | |
dc.relation.referencesen | [10] Thermo Scientific Nicolet iS10 FT-IR Spectrometer. URL: https://www.tecnofrom.com/moduloProductos/noti_114/file.pdf | |
dc.relation.referencesen | [11] Device for determining diesel fuel quality control: patent application No. C-2255, Ukraine, O. I. Shpak, 09/29/2022. Ukraine. Lviv, 2022. | |
dc.relation.referencesen | [12] S. Glushkov, V. Zhidkikh. The choice of a wavelet-forming function for the analysis of the dynamic characteristics of the internal combustion engine signal. URL: https://cyberleninka.ru/article/n/vybor-veyvlet-obrazuyuschey-funktsii-dlyaanaliza-dinamicheskih-harakteristik-signala-dvigatelyavnutrennego-sgoraniya/viewer. | |
dc.relation.uri | https://doi.org/10.48550/arXiv.1502.00161 | |
dc.relation.uri | https://courses.washington.edu/me333afe/Wavelet_Toolbox_Misiti_Ch1.pdf | |
dc.relation.uri | http://online.budstandart.com/ua/catalog/docpage?id_doc=62099 | |
dc.relation.uri | https://doi.org/10.3390/en14237903 | |
dc.relation.uri | https://www.tecnofrom.com/moduloProductos/noti_114/file.pdf | |
dc.relation.uri | https://cyberleninka.ru/article/n/vybor-veyvlet-obrazuyuschey-funktsii-dlyaanaliza-dinamicheskih-harakteristik-signala-dvigatelyavnutrennego-sgoraniya/viewer | |
dc.rights.holder | © Національний університет “Львівська політехніка”, 2023 | |
dc.subject | Diesel fuel | |
dc.subject | quality control | |
dc.subject | spectral characteristics | |
dc.subject | cetane number | |
dc.subject | wavelet conver | |
dc.title | Predictive assessment of diesel fuel quality based on wavelet transformations | |
dc.type | Article |
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