Multi-Symptom Diagnostic Investigation of the Working Process of a Marine Diesel Engine: Case Study

Korczewski, Zbigniew; Varbanets, Roman; Minchev, Dmytro; Rudnicki, Jacek

doi:10.2478/pomr-2025-0052

Abstract

This second part of our manuscript deals with the diagnostic capabilities of the Blitz-PRO utility computer program. These capabilities form the basis of the Weichai WP4 engine’s digital twin, in terms of multi-symptom identification of selected states of the engine’s fed system and valve train system. These states include the use of non-standard fuel, the wear of precision pairs of the high-pressure fuel pump, and mismatched camshaft positioning during engine assembly after maintenance. The basic assumptions of the mathematical model of the diesel engine used in Blitz-PRO are outlined here, and numerical experiments are conducted on the model to simulate the behaviour of the Weichai WP4 engine after the introduction of the considered states. Based on the results of numerical simulations of the working process, a relational model is proposed, which forms the basis for diagnostic reasoning. A comparative analysis of the changes in the diagnostic parameters of the relational model and the resulting syndromes enables early detection of similar states of fuel-fed systems for similar engine types.

References

Nath K, Kumar V, Smith DJ, Karniadakis GE. A digital twin for diesel engines: Operator-infused PINNs with transfer learning for engine health monitoring. Cornell University, December 17, 2024. https://doi.org/10.48550/arXiv.2412.11967.
Search in Google Scholar Back to article
Minchev D, Varbanets R, Shumylo O, Zalozh V, Aleksandrovska N, Bratchenko P, Truong TH. Digital twin test-bench performance for marine diesel engine applications. Polish Maritime Research 2023, Vol. 30, no. 4, pp. 81-91. https://doi.org/10.2478/pomr-2023-0061.
Search in Google Scholar Back to article
Hu D, Wang H, Yang C, Wang B, Duan B, Wang Y, Li H. Construction of digital twin model of engine in-cylinder combustion based on data-driven. Energy 2024, Vol. 293, p. 130543. https://doi.org/10.1016/j.energy.2024.130543.
Search in Google Scholar Back to article
Sagin SV, Solodovnikov VG. Estimation of operational properties of lubricant coolant liquids by optical methods. International Journal of Applied Engineering Research 2017, Vol. 12, no. 19, pp. 8380-8391.
Search in Google Scholar Back to article
Sagin SV, Karianskyi S, Sagin SS, Volkov O, Zablotskyi Y, Fomin O, Píštěk V, Kučera P. Ensuring the safety of maritime transportation of drilling fluids by platform supply-class vessel. Applied Ocean Research 2023, Vol. 140, p. 103745. https://doi.org/10.1016/j.apor.2023.103745.
Search in Google Scholar Back to article
Kafar I, Merkisz J, Piaseczny L. Fuel spray model in a medium speed marine engine—A simulation. Combustion Engines 2006, Vol. 126, no. 3, pp. 63-76. https://doi.org/10.19206/ce-117345.
Search in Google Scholar Back to article
Hahn T. Ignition study in rapid compression machine. Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/46641.
Search in Google Scholar Back to article
Wadkar C, Chinnathambi P, Toulson E. Analysis of rapid compression machine facility effects on the auto-ignition of ethanol. Fuel 2020, Vol. 264, 116546. https://doi.org/10.1016/j.fuel.2019.116546.
Search in Google Scholar Back to article
Bilousov I, Bulgakov M, Savchuk V. Modern marine internal combustion engines: A technical and historical overview. Springer Series on Naval Architecture, Marine Engineering, Shipbuilding and Shipping, 2020. https://doi.org/10.1007/978-3-030-49749-1.
Search in Google Scholar Back to article
Ghojel JI. Review of the development and applications of the Wiebe function: A tribute to the contribution of Ivan Wiebe to engine research. International Journal of Engine Research 2010, Vol. 11, p. 297-312. https://doi.org/10.1243/14680874JER06510.
Search in Google Scholar Back to article
Basurko OC, Uriondo Z. Condition-based maintenance for medium speed diesel engines used in vessels in operation. Applied Thermal Engineering 2015, Vol. 80, p. 404-412. https://doi.org/10.1016/j.applthermaleng.2015.01.075.
Search in Google Scholar Back to article
Korczewski Z. Test method for determining the chemical emissions of a marine diesel engine exhaust in operation. Polish Maritime Research 2021, Vol. 28, no. 3(111), pp. 76-87. https://doi.org/10.2478/pomr-2021-0035.
Search in Google Scholar Back to article
Melnyk O, Bychkovsky Y, Onishchenko O, Onyshchenko S, Volianska Y. Development of the method of shipboard operations risk assessment quality evaluation based on experts review. Studies in Systems, Decision and Control 2023, Vol. 481, pp. 695-710. https://doi.org/10.1007/978-3-031-35088-7_40
Search in Google Scholar Back to article
Gutenbaum J. Mathematical modeling of systems. Systems Research Institute of the Polish Academy of Sciences 1992.
Search in Google Scholar Back to article
Cannon RH. Dynamics of physical systems. New York, Dover Publications; 2003.
Search in Google Scholar Back to article
Tamhane AC. Statistical analysis of designed experiments: Theory and applications. Wiley Series in Probability and Statistics; 2009.
Search in Google Scholar Back to article
Tsitsilonis KM, Theotokatos G, Patil C, Coraddu A. Health assessment framework of marine engines enabled by digital twins. International Journal of Engine Research 2023, Vol. 24, no. 7, pp. 3264-3281. https://doi.org/10.1177/14680874221146835.
Search in Google Scholar Back to article
Varbanets R, Shumylo O, Marchenko A, Minchev D, Kyrnats V, Zalozh V, Aleksandrovska N, Brusnyk R, Volovyk K. Concept of vibroacoustic diagnostics of the fuel injection and electronic cylinder lubrication systems of marine diesel engines. Polish Maritime Research 2022, Vol. 29, no. 4, pp. 88-96. https://doi.org/10.2478/pomr-2022-0046.
Search in Google Scholar Back to article
Neumann S, Varbanets R, Minchev D, Malchevsky V, Vitalii Zalozh V. Vibrodiagnostics of marine diesel engines in IMES GmbH systems. Ships and Offshore Structures 2023, Vol. 18, no. 11, pp. 1535-1546. https://doi.org/10.1080/17445302.2022.2128558.
Search in Google Scholar Back to article
Varbanets R, Fomin O, Píštěk V, Klymenko V, Minchev D, Khrulev A, Zalozh V, Kučera P. Acoustic method for estimation of marine low-speed engine turbocharger parameters. Journal of Marine Science and Engineering 2021, Vol. 9(3), no. 321, pp. 1-13. https://doi.org/10.3390/jmse9030321.
Search in Google Scholar Back to article
Varbanets R, Minchev D, Kucherenko Y, Zalozh V, Kyrylash O, Tarasenko T. Methods of real-time parametric diagnostics for marine diesel engines. Polish Maritime Research 2024, Vol. 31, no. 3, pp. 71-84. https://doi.org/10.2478/pomr-2024-0037.
Search in Google Scholar Back to article
Minchev D, Varbanets R, Aleksandrovskaya N, Pisintsaly L. Marine diesel engines operating cycle simulation for diagnostics issues. Acta Polytechnica 2021, Vol. 3, no. 61, pp. 428-440. https://doi.org/10.14311/AP.2021.61.0435.
Search in Google Scholar Back to article
Blitz-PRO by D S Minchev. User’s manual. Retrieved from http://blitzpro.zeddmalam.com/extra/Tutorial/Help.pdf.
Search in Google Scholar Back to article
Minchev D, Gogorenko OA, Varbanets RA, Moshentsev YL, Píštěk V, Kučera P, Shumylo OM, Kyrnats VI. Prediction of centrifugal compressor instabilities for internal combustion engines operating cycle simulation. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 2023, Vol. 237, nos. (2-3), pp. 572-584. https://doi.org/10.1177/09544070221075419.
Search in Google Scholar Back to article
Varbanets R, Minchev D, Savelieva I, Rodionov A, Mazur T, Psariuk S, Bondarenko V. Advanced marine diesel engines diagnostics for IMO decarbonization compliance. AIP Conf. Proc. 16th February 2024, vol 3104, no. 1, p. 020004. https://doi.org/10.1063/5.0198828.
Search in Google Scholar Back to article
Melnyk O, Onishchenko O, Onyshchenko, S. Renewable energy concept development and application in shipping industry. Lex Portus 2023, Vol. 9, no. 6, pp. 15-24. https://doi.org/10.26886/2524-101X.9.6.2023.2.
Search in Google Scholar Back to article
Korczewski Z. An entropy function application within the selection process of diagnostic parameters of marine diesel and gas turbine engines. Polish Maritime Research 2010, Vol. 2(65), no. 17, pp. 29-35. https://doi.org/10.2478/v10012-010-0015-2.
Search in Google Scholar Back to article
Korczewski Z, Rudnicki J, Varbanets R, Minchev D. Multi-symptom diagnostic investigation of the working process of a marine diesel engine: Case study. Part 1: Measurement Diagnostics. Polish Maritime Research 2025, Vol. 32, no. 2, pp. 50-61. https://doi.org/10.2478/pomr-2025-0020.
Search in Google Scholar Back to article
ISO 8217:2024. Products from petroleum, synthetic and renewable sources - Fuels (class F) - Specifications of marine fuels. Standard by International Organization for Standardization, 06/01/2024.
Search in Google Scholar Back to article

Multi-Symptom Diagnostic Investigation of the Working Process of a Marine Diesel Engine: Case Study

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