50 years of scientific thought on machine diagnostics in Poland and its influence on maritime applications

• Autorzy: Klekot Grzegorz , Dąbrowski Zbigniew , Dziurdź Jacek

Identyfikatory

DOI

10.2478/pomr-2024-0060

• Języki publikacji: EN

Abstrakty

EN

This article presents a condensed outline of how approaches to solving technical diagnostics tasks have changed over the last 50 years. It reviews different approaches to the modelling of wear and tear phenomena that are the subject of diagnosis, and draws attention to groundbreaking papers which are still of topical interest. Particular emphasis is placed on the development of vibroacoustic diagnostics methods, an area in which Polish scientists were among the world’s avant garde. It is also shown how methodologies have changed with the progress of digital signal analysis. The example presented in the second part of the article demonstrates that the well-known and technically important task of diagnosing a gear set can now be solved without looking for a classic state→symptom relationship through an accurate dynamic description of the machine and comparing it with the results of an experiment, but instead by comparing observations at different points in the n-dimensional space with an abstract pattern generated by a sequence of logical transformations. This formulation of the task opens up avenues for AI methods. Attention is paid to the fact that maritime shipping is one of the main fields of application for modern diagnostic methods, and it is shown that the increase in the accuracy of vibroacoustic diagnostics techniques and the correctness of the diagnosis allows for the use of this methodology in marine applications.

Słowa kluczowe

EN

technical diagnostics; vibroacoustics; diagnostic modeling

• Wydawca: Gdańsk University of Technology, Faculty of Ocean Engineering & Ship Technology
• Czasopismo: Polish Maritime Research
• Rocznik: 2024
• Tom: nr 4
• Strony: 161--173
• Opis fizyczny: Bibliogr. 52 poz., rys.

Twórcy

autor

Klekot Grzegorz

• Warsaw University of Technology Faculty of Automobiles and Heavy Machinery Engineering, Warsaw, Poland

• https://orcid.org/0000-0001-8469-8298

autor

Dąbrowski Zbigniew

• Warsaw University of Technology Faculty of Automobiles and Heavy Machinery Engineering, Warsaw, Poland

autor

Dziurdź Jacek

• Warsaw University of Technology Faculty of Automobiles and Heavy Machinery Engineering, Warsaw, Poland

• https://orcid.org/0000-0002-5828-5577

Bibliografia

• 1. Deuszkiewicz P, Dobrociński S, Dziurdź J. & et al. Diagnostyka wibroakustyczna okrętowych turbinowych silnikow spalinowych. Radom: Wydawnictwo Naukowe Instytutu Technologii Eksploatacji – PIB; 2009. 147 p. [In Polish: Vibroacoustic diagnostics of marine gas turbine engines. Radom: Institute of Sustainable Technologies – NRI].
• 2. Gardulski J. Vibroacoustic information processing system used in diagnostics of shock absorbers in passenger cars. Katowice – Radom: Institute of Sustainable Technologies – NRI; 2009. 254 p.
• 3. Grządziela A, Kluczyk M, Vidan P. Monitoring the technical condition of the marine turbine engines by analysis of rundown resonance parameters In: Puchalski, A., Łazarz, B.E., Chaari, F., Komorska, I., Zimroz, R. (eds) Advances in Technical Diagnostics II. ICTD 2022. Applied Condition Monitoring, vol 21. Springer, Cham. DOI: 10.1007/978-3-031-31719-4_3.
• 4. Madej H. Diagnozowanie uszkodzeń mechanicznych w silnikach spalinowych maskowanych przez elektroniczne urządzenia sterujące. Radom: Wydawnictwo Naukowe Instytutu Technologii Eksploatacji – PIB; 2009. 142 p. [In Polish: Diagnosing mechanical damage in internal combustion engines masked by electronic control devices. Radom: Institute of Sustainable Technologies – NRI].
• 5. Niziński S, Kupicz W, Mikołajczak P. et al. Systemy diagnostyczne wojskowych pojazdow mechanicznych. Radom: Wydawnictwo Naukowe Instytutu Technologii Eksploatacji – PIB; 2011. 520 p. [In Polish: Diagnostic systems for military motor vehicles. Radom: Institute of Sustainable Technologies – NRI].
• 6. Orłowski Z. Diagnostyka w życiu turbin parowych. Warszawa: Wydawnictwa Naukowo-Techniczne; 2001. 254 p. [In Polish: Diagnostics in the life of steam turbines. Warsaw: Scientific and Technological Publishing House].
• 7. Zawisza M. Symptomy wibroakustyczne jako uzupełnienie systemu OBD silnikow wysokoprężnych. Radom: Wydawnictwo Naukowe Instytutu Technologii Eksploatacji – PIB; 2015. 138 p. [In Polish: Vibroacoustic symptoms as a supplement to the OBD system of diesel engines. Radom: Institute of Sustainable Technologies – NRI].
• 8. Engel Z. Ochrona środowiska przed drganiami i hałasem. Warszawa: Wydawnictwo Naukowe PWN; 1993. 460 p. [In Polish: Environmental protection against vibrations and noise. Warsaw: National Scientific Publishers PWN].
• 9. Kozak J, Tarełko W., Case study of masts damage of the sail training vessel POGORIA, Engineering Failure Analysis 18(3) 819-827 2011. DOI: 10.1016/j.engfailanal.2010.11.016.
• 10. Kurowski W. Inżynieria informacji diagnostycznej. Analiza sygnału. Radom: Wydawnictwo Naukowe Instytutu Technologii Eksploatacji – PIB; 2010. 129 p. [In Polish: Diagnostic information engineering. Signal analysis. Radom: Institute of Sustainable Technologies – NRI].
• 11. Kniaziewicz T, Zadrąg R. Ranking of toxic compound concentrations as diagnostic parameters of marine internal combustion engine. Polish Maritime Research Special Issue S1 (97) Vol. 25 234-242 2018. DOI: 10.2478/pomr-2018-0047.
• 12. Kluczyk M, Grządziela A, Polak A. Analysis of changes in the opening pressure of marine engine injectors based on vibration parameters recorded at a constant torque load. Sensors 23(20) 8404 2023. DOI:10.3390/s23208404.
• 13. Żuławiński W, Antoni J, Zimroz R, Wyłomańska A. Applications of robust statistics for cyclostationarity detection in non-Gaussian signals for local damage detection in bearings. Mechanical Systems and Signal Processing 214 1-24 2024.
• 14. Girtler J. The semi-Markov model of the process of appearance of sea-going ship propulsion system ability and inability states in application to determining the reliability of these systems, Polish Maritime Research 4(80) 20 18-24 2013. DOI: 10.2478/pomr-2013-0036.
• 15. Girtler J. Identification of damages of tribological associations in crankshaft and piston systems of two-stroke internal combustion engines used as main propulsion in sea-going vessels and proposal of probabilistic description of loads as causes of these damages. Polish Maritime Research 2(86) 22 44-54 2015. DOI: 10.1515/pomr-2015-0016.
• 16. Girtler J. Limiting distribution of the three-state semi- Markov model of technical state transitions of ship power plant machines and its applicability in operational decisionmaking, Polish Maritime Research 2(106) 27 136-144 2020. DOI: 10.2478/pomr-2020-0035.
• 17. Muller L. Przekładnie zębate, badania. Warszawa: Wydawnictwa Naukowo-Techniczne; 1984. 227 p. [In Polish: Gears, tests. Warsaw: Scientific and Technological Publishing House].
• 18. Natke H G Cempel C. Model-aided diagnosis of mechanical systems: Fundamentals, detection, localization, assessment. Berlin Heidelberg: Springer–Verlag; 1997. 248 p.
• 19. Pleban D. Method of acoustic assessment of machinery based on global acoustic quality index. Archives of Acoustics 35(2) 223-235 2010.
• 20. Klekot G. Zastosowanie miar propagacji energii wibroakustycznej do monitorowania stanu obiektow oraz jako narzędzie w zarządzaniu hałasem. Radom: Wydawnictwo Naukowe Instytutu Technologii Eksploatacji – PIB; 2012. 122 p. [In Polish: Application of vibroacoustic energy propagation measures to monitor the condition of objects and as a tool in noise management. Radom: Institute of Sustainable Technologies – NRI].
• 21. Buszman K. Analysing the impact on underwater noise of changes to the parameters of a ship’s machinery. Polish Maritime Research 3(107) 27 176-181 2020. DOI: 10.2478/pomr-2020-0059.
• 22. Adamkiewicz A, Drzewieniecki J. Service and maintenance of marine steam turbogenerators with the assistance of vibration diagnostics. Polish Maritime Research 1(77) 20 31-38 2013. DOI: 10.2478/pomr-2013-0004.
• 23. Filipiak-Kowszyk D, Kamiński W. The application of Kalman filtering to predict vertical rail axis displacements of the overhead crane being a component of seaport transport structure. Polish Maritime Research 2(90) 23 64-70 2016. DOI: 10.1515/pomr-2016-0022.
• 24. Batko W, Dąbrowski Z, Kiciński J. Nonlinear effects in technical diagnostics. First Edition. Radom: Institute of Sustainable Technologies – NRI; 2008. 302 p.
• 25. Szala J, Boroński D. Ocena stanu zmęczenia materiału w diagnostyce maszyn i urządzeń. Bydgoszcz – Radom: Wydawnictwo Naukowe Instytutu Technologii Eksploatacji – PIB; 2008. 287 p. [In Polish: Assessment of material fatigue in the diagnostics of machines and devices. Bydgoszcz – Radom: Institute of Sustainable Technologies – NRI].
• 26. Batko W, Banek T. Estymacja zaburzeń w systemach monitorujących. Krakow: Wydawnictwo AGO; 1997. 97 p. [In Polish: Estimation of disorders in monitoring systems. Cracow: AGO Publishing House].
• 27. Girtler J, Rudnicki J. Quantumness in diagnostics of marine internal combustion engines and other ship power plant machines. Polish Maritime Research 4(120) 30 110-119 2023. DOI: 10.2478/pomr-2023-0064.
• 28. Grządziela A, Załęska-Fornal A, Kluczyk M. The single degree of freedom simulation model of underwater explosion impact. Archives of Acoustics 45(2) 341-348 2020. DOI:10.24425/aoa.2020.133154.
• 29. Kozłowski E, Borucka A, Oleszczuk P, Jałowiec T. Evaluation of the maintenance system readiness using the semi-Markov model taking into account hidden factors. Eksploatacja i Niezawodność–Maintenance and Reliability 25(4) 2023. DOI: 10.17531/ein/172857.
• 30. Pleban D. Acoustic modeling of machines using the inversion method for the purposes of the acoustic assessment of machines. Archives of Acoustics 32(2) 321-327 2007.
• 31. Bzura P. Diagnostic model of crankshaft seals. Polish Maritime Research 3(103) 26 39-46 2019. DOI: 10.2478/pomr-2019-0044.
• 32. Kluczyk M, Grządziela A, Batur T. Design and operational diagnostics of marine propellers made of polymer materials. Polish Maritime Research 4(116) 29 115-122 2022. DOI: 10.2478/pomr-2022-0049.
• 33. Tomaszek H, Zieja M, Ważny M. A method for reliability assessment of structural components of aircraft and sea-going ships with taking into account a given failure generation model. Polish Maritime Research 2(90) 23 83-90 2016. DOI: 10.1515/pomr-2016-0024.
• 34. Pająk M, Muślewski Ł, Landowski B, Grządziela A. Fuzzy identification of the reliability state of the mine detecting ship propulsion system. Polish Maritime Research 1(101) 26 55-64 2019. DOI: 10.2478/pomr-2019-0007.
• 35. Breńkacz Ł, Żywica G, Drosińska-Komor M. The experimental identification of the dynamic coefficients of two hydrodynamic journal bearings operating at constant rotational speed and under nonlinear conditions. Polish Maritime Research 4(96) 24 108-115 2017. DOI: 10.1515/pomr-2017-0142.
• 36. Grządziela A, Musiał J, Muślewski Ł, Pająk M. A method for identification of non-coaxiality in engine shaft lines of a selected type of naval ships. Polish Maritime Research 1(85) 22 65-71 2015. DOI: 10.1515/pomr-2015-0009.
• 37. Emilianowicz K. Monitoring of underdeck corrosion by using acoustic emission method. Polish Maritime Research 1(81) 21 54-61 2014. DOI: 10.2478/pomr-2014-0008.
• 38. Katunin A. Diagnostics of composite structures using wavelets. Radom: Institute of Sustainable Technologies – NRI; 2015. 315 p.
• 39. Korczewski Z. Health monitoring of a compression ignition engine fed with different low-sulphur marine fuels by endoscopic image processing and analysis. Polish Maritime Research 2(118) 30 85-94 2023. DOI: 10.2478/pomr-2023-0024.
• 40. Puzdrowska P. Diagnostic information analysis of quickly changing temperature of exhaust gas from marine diesel engine: Part I: Single factor analysis. Polish Maritime Research 4(112) 28 97-106 2021. DOI: 10.2478/pomr-2021-0052.
• 41. Puzdrowska P. Diagnostic analysis of exhaust gas with a quick-changing temperature from a marine diesel engine: Part II: Two factor analysis. Polish Maritime Research 3(119) 30 89-95. DOI: 10.2478/pomr-2023-0042.
• 42. Szymiczek M. Ocena stopnia degradacji poliestrowoszklanych kompozytow nawijanych. Gliwice: Wydawnictwo Politechniki Śląskiej; 2016. 201 p. [In Polish: Assessment of the degree of degradation of wound polyester-glass composites. Gliwice: Silesian University of Technology Publishing House].
• 43. Pawlik P, Kania K, Przysucha B. Fault diagnosis of machines operating in variable conditions using artificial Neural network not requiring training data from a faulty machine. Eksploatacja i Niezawodność – Maintenance and Reliability 25(3) 2023. DOI: 10.17531/ein/168109.
• 44. Puchalski A. Wybrane problemy diagnozowania układow mechatronicznych pojazdow. Radom: Wydawnictwo Naukowe Instytutu Technologii Eksploatacji – PIB; 2013. 129 p. [In Polish: Selected problems in diagnosing vehicle mechatronic systems. Radom: Institute of Sustainable Technologies – NRI].
• 45. Osiński Z, Wrobel J. Teoria konstrukcji maszyn. Warszawa: Wydawnictwo Naukowe PWN; 1982. 191 p. [In Polish: The theory of machine design. Warsaw: National Scientific Publishers PWN].
• 46. Ziemba S. Problemy rozwoju nauki o eksploatacji maszyn i urządzeń technicznych. Warszawa: Państwowe Wydawnictwo Naukowe; 1983. 260 p. [In Polish: Problems of the development of science about operation of technical machinery and equipment. Warsaw: National Scientific Publishers PWN].
• 47. Radkowski S. Wibroakustyczna diagnostyka uszkodzeń niskoenergetycznych. Radom: Wydawnictwo Naukowe Instytutu Technologii Eksploatacji – PIB; 2002. 247 p. [In Polish: Vibroacoustic diagnostics of low-energy faults. Radom: Institute of Sustainable Technologies – NRI].
• 48. Adamczyk J, Krzyworzeka P, Łopacz H. Systemy synchronicznego przetwarzania sygnałow diagnostycznych. Krakow: Collegium Columbinum; 1999. 158 p. [In Polish: Systems of synchronous processing of diagnostic signals. Cracow: Collegium Columbinum].
• 49. Dziurdź J. Analiza zjawisk nieliniowych w diagnozowaniu układow napędowych pojazdow. Warszawa – Radom: Wydawnictwo Naukowe Instytutu Technologii Eksploatacji – PIB; 2013. 112 p. [In Polish: Analysis of Nonlinear phenomena in diagnosing vehicle drive systems. Warsaw –Radom: Institute of Sustainable Technologies – NRI].
• 50. Wojnar G, Burdzik R, Wieczorek A N, Konieczny Ł. Multidimensional data interpretation of vibration signals registered in different locations for system conditio monitoring of a three-stage gear transmission operating under difficult conditions. Sensors 21 2021 7808 2021. DOI: 10.3390/s21237808.
• 51. Dąbrowski Z, Deuszkiewicz P, Dziurdź J. Proposition of the vibroacoustic diagnostic methodology of testing toothed gears of marine drives. Journal of Marine Engineering & Technology 16(4) 386-391 2017.
• 52. Dąbrowski Z, Dziurdź J, Gornicka D. Utilisation of the coherence analysis in acoustic diagnostics of internal combustion engines. Archives of Acoustics 42(3) 475-481 2017. DOI: 10.1515/aoa-2017-0050.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki i promocja sportu (2025).