Diesel Fuel Quality Monitoring System based on Genetic Algorithm
DOI:
https://doi.org/10.47839/ijc.23.4.3759Keywords:
control system, diesel fuel, genetic algorithm, approximation, cubic polynomialAbstract
This article highlights determination of diesel fuel quality indicators by electrical method using the electrical measurements frequency range of the measuring transducer amplitude characteristics for diesel fuel. A method is proposed that allows controlling the quality of fuel by the characteristics of a high-frequency electromagnetic signal passed through the fuel under study. The relationship between the electrical parameters and physical parameters of diesel fuel is determined, which can be traced in measurements and graphs. This control system is represented by a function that has several conflicting criteria that need to be optimized simultaneously, so the approximation method is applied as the most successful option for the study. A cubic polynomial is used to approximate the given dependence. To extend the approximation capabilities of the polynomial, the integer powers of x are substituted by real ones. The dependence of the measured and approximated values is analyzed and the differences between them are estimated.
References
M. Ulberth-Buchgraber, J. Charoud-Got, A. Held, “Certified reference materials for effective automotive diesel fuel testing,” Fuel, vol. 286, part 1, 119367, 2021. https://doi.org/10.1016/j.fuel.2020.119367.
B. D. Batts, A. Z. Fathoni, “A literature review on fuel stability studies with particular emphasis on diesel oil,” Energy Fuels, vol. 5, pp. 2–21, 1991. https://doi.org/10.1021/ef00025a001.
S. C. Gad, Diesel Fuel, In Encyclopedia of Toxicology, 2nd ed.; Philip, W., Ed.; Elsevier: Amsterdam, The Netherlands, 2005, pp. 715–729. https://doi.org/10.1016/B0-12-176480-X/00259-X
A. Rimkus, T. Vipartas, J. Matijošius, S. Stravinskas, D. Kriaučiūnas “Study of indicators of CI engine running on conventional diesel and chicken fat mixtures changing EGR, Applied Sciences, vol. 11, issue 4, 1411, 2021. https://doi.org/10.3390/app11041411.
Q. Ma, Q. Zhang, J. Liang, C. Yang, “The performance and emissions characteristics of diesel/biodiesel/alcohol blends in a diesel engine,” Energy Rep., vol. 7, pp. 1016–1024, 2021. https://doi.org/10.1016/j.egyr.2021.02.027.
R. Gautam, S. Kumar, “Performance and combustion analysis of diesel and tallow biodiesel in CI engine,” Energy Rep., vol. 6, pp. 2785–2793, 2020. https://doi.org/10.1016/j.egyr.2020.09.039.
J. Matijošius, O. Orynycz, S. Kovbasenko, V. Simonenko, Y. Shuba, V. Moroz, S. Gutarevych, A. Wasiak, K. Tucki, “Testing the indicators of diesel vehicles operating on diesel oil and diesel biofuel,” Energies, vol. 15, issue 24, 9263, 2022. https://doi.org/10.3390/en15249263.
S. Fairfax, N. Dowling, P. Weidknecht, “Reliability assessment of a large diesel generator fleet,” IEEE Transactions on Industry Applications, vol. 56, issue 2, pp. 942-951, 2020. https://doi.org/10.1109/TIA.2019.2957469.
Md. S. Islam, A. Jahid; A. S. M. T. Islam, Sharif, Md. A. Sadath, Md. K. Hasan Monju, “Renewable energy aware cost assessment for green data center with hybrid energy sources,” Proceedings of the 2019 International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), 2019, pp. 120-125. https://doi.org/10.1109/ICREST.2019.8644224.
M. Dietmannsberger; J. Burkhardt, “Modelling and assessment of system costs and CO2-emissions for electrification of bus fleets,” Proceedings of the 2021 Smart City Symposium Prague (SCSP), 2021, pp. 1-7. https://doi.org/10.1109/SCSP52043.2021.9447374.
A. Choudhary, S. Gokhale, A. Shukla, P. Kumar, A. K. Singh, “Variability in emission rate of auto-rickshaw based on real world driving profile: A case study in Guwahati city,” Proceedings of the 2019 URSI Asia-Pacific Radio Science Conference (AP-RASC), 2019, pp. 1-4. https://doi.org/10.23919/URSIAP-RASC.2019.8738673.
B. Mrusek, J. K. Wilson, J. Solti, “Mitigating human error in jet fuel contamination,” Proceedings of the 2021 IEEE Aerospace Conference (50100), 2021, pp. 1-7. https://doi.org/10.1109/AERO50100.2021.9438524.
R. Kothari, S. Ahmad, V. V. Pathak, A. K. Pandey, R. Saidur, “Fuel quality index of transesterified and nontransestried oil samples of Mustard and Ricebran oil,” Proceedings of the 5th IET International Conference on Clean Energy and Technology (CEAT2018), 2018. https://doi.org/10.1049/cp.2018.1333.
X. M. Zhang, Q. L. Han, X. Ge, D. Ding, L. Ding, D. Yue, C. Peng, “Networked control systems: A survey of trends and techniques,” IEEE/CAA J. Autom. Sin., vol. 7, pp. 1–17, 2019. https://doi.org/10.1109/JAS.2019.1911651.
T. Tomura, K. Uehiro, S. Kanai, S. Yamamoto, “Developing simulation models of open distributed control system by using object-oriented structural and behavioral patterns,” Proceedings of the Fourth IEEE International Symposium on Object-Oriented Real-Time Distributed Computing, ISORC 2001, Magdeburg, Germany, 2–4 May 2001, pp. 428–437. https://doi.org/10.1109/ISORC.2001.922868.
A. Velazquez, F. Martell, I. Y. Sanchez, C. A. Paredes, “Cyberphysical system modeled with complex networks and hybrid automata to diagnose multiple and concurrent faults in manufacturing systems,” Applied Sciences, vol. 13, no. 19, 10603, 2023. https://doi.org/10.3390/app131910603.
F. A. Oumeziane, A. Ourghanlian, S. Amari, “Analysis of distributed control systems using timed automata with guards and dioid algebra,” Proceedings of the 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Vienna, Austria, 8–11 September 2020, vol. 1, pp. 1373–1376. https://doi.org/10.1109/ETFA46521.2020.9211898.
J. C. Spall, Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control, John Wiley & Sons: Hoboken, NJ, USA, 2005. ISBN 0471441902.
S. Zhao, T. Zhang, S. Ma, M. Wang, “Sea-horse optimizer: A novel nature-inspired meta-heuristic for global optimization problems,” Appl. Intell., vol. 53, pp. 11833–11860, 2023. https://doi.org/10.1007/s10489-022-03994-3.
L. L. Monteiro, P. Zoio, B. B. Carvalho, L. P. Fonseca and C. R. C. Calado, “Quality monitoring of biodiesel and diesel/biodiesel blends: A comparison between benchtop FT-NIR versus a portable miniaturized NIR spectroscopic analysis,” Processes, vol. 11, issue 4, 1071, 2023. https://doi.org/10.3390/pr11041071.
A. Sioma, “Vision system in product quality control systems,” Appl. Sci., vol. 13, issue 2, 751, 2023. https://doi.org/10.3390/app13020751.
J. Abbas, “Impact of total quality management on corporate sustainability through the mediating effect of knowledge management,” J. Clean. Prod., vol. 244, 118806, 2020. https://doi.org/10.1016/j.jclepro.2019.118806.
V. Samotiy, U. Dzelendziak, “The use of genetic algorithms for approximation of functions by real polynomials,” Computer Sciences and Information Technologies: Bulletin of Lviv Polytechnic University, no. 694, pp. 313-318, 2011. https://ena.lpnu.ua/collections/fee269ff-30ce-4a5f-8621-3f29084ebfda.
P. Bykovyy, V. Kochan, A. Sachenko and G. Markowsky, “Genetic algorithm implementation for perimeter security systems CAD,” Proceedings of the 2007 4th IEEE Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS’2007), Dortmund, Germany, 2007, pp. 634-638, https://doi.org/10.1109/IDAACS.2007.4488498.
A. Wambua Wambua, G. Mariga Wambugu, “A comparative analysis of bat and genetic algorithms for test case prioritization in regression testing,” International Journal of Intelligent Systems and Applications (IJISA), vol. 15, no. 1, pp. 13-21, 2023. https://doi.org/10.5815/ijisa.2023.01.02.
A. L. El Idrissi, et al., “A novel approach and hybrid parallel algorithms for solving the fixed charge transportation problem,” Radioelectronic and Computer Systems, no. 3, pp. 18-26, 2023. https://doi.org/10.32620/reks.2023.3.02.
K. Janardhana, S. Sridhar, C. K. Dixit, M. Deivakani, S. Tamilselvi, A. R. Kaladgi, A. Afzal, M. A. A. Baig, “ANFIS modeling of biodiesels’ physical and engine characteristics: A review,” Heat Transf., vol. 50, pp. 8052–8079, 2021. https://doi.org/10.1002/htj.22266.
E. O. Oke, O. Adeyi, B. I. Okolo, C. J. Ude, J. A. Adeyi, K. K. Salam, U. Nwokie, I. Nzeribe, “Heterogeneously catalyzed biodiesel production from Azadiricha Indica oil: Predictive modelling with uncertainty quantification, experimental optimization and techno-economic analysis,” Bioresour. Technol., vol. 332, 125141, 2021. https://doi.org/10.1016/j.biortech.2021.125141.
N. Ocheretnyuk, I. Voytyuk, M. Dyvak and Y. Martsenyuk, “Features of structure identification the macromodels for nonstationary fields of air pollutions from vehicles,” Proceedings of International Conference on Modern Problem of Radio Engineering, Telecommunications and Computer Science, Lviv, Ukraine, 2012, pp. 444-444, https://ieeexplore.ieee.org/document/6192692.
M. Dyvak, A. Pukas, I. Oliynyk and A. Melnyk, “Selection the “Saturated” block from interval system of linear algebraic equations for recurrent laryngeal nerve identification,” Proceedings of the 2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP), Lviv, Ukraine, 2018, pp. 444-448, https://doi.org/10.1109/DSMP.2018.8478528.
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