Ranking of toxic compound concentrations as diagnostic parameetrs of marine internal combustion engine

• Autorzy: Zadrąg R. , Kniaziewicz T.

Identyfikatory

DOI

10.2478/pomr-2018-0047

• Języki publikacji: EN

Abstrakty

EN

Changing selected engine structure parameters, especially fuel system parameters, affects the emission of harmful compounds in the exhaust gas. Changes in harmful compound emission are frequently ambiguous, as they highly depend on parameters controlling the combustion process. An additional problem is that simple interactions are frequently accompanied with mutual influence of these parameters. Therefore, we can say about different sensitivity of diagnostic parameters to the same excitations coming from the engine structure but executed at different loading states. When the set of diagnostic parameters is numerous and the values of these parameters are similar, there is a real problem with their correct classification, frequently based on subjective assessment by the analyst. In the article, the authors propose a methodology to classify the recorded diagnostic parameters. In earlier works by the authors [4,6,7], the information capacity index method (the Hellwig method) was proposed as the measure of diagnostic parameter sensitivity. Based on this method, a rankling of diagnostic parameters can be created which divides the set of diagnostic variables into stimulators and destimulators. Novel authors’ approach to the presented problem consists in including nominants, i.e. variables with the most favourable value for the analysed aspect of the research, in the set of diagnostic variables. This normalisation of the set is believed to be helpful for making a diagnostic decision free from analyst’s arbitrariness. The zero unitarization method can also be helpful in creating diagnostic tests.

Słowa kluczowe

EN

diagnostic model; diesel engine; exhaust components; ranking of parameters

• Wydawca: Gdańsk University of Technology, Faculty of Ocean Engineering & Ship Technology
• Czasopismo: Polish Maritime Research
• Rocznik: 2018
• Tom: S 1
• Strony: 234--242
• Opis fizyczny: Bibliogr. 7 poz., rys., tab.

Twórcy

autor

Zadrąg R.

• Polish Naval Academy 69 Śmidowicza St. 81-127 Gdynia, Poland

autor

Kniaziewicz T.

• Polish Naval Academy, Gdynia, Poland

Bibliografia

• 1. Markowski J.: Emission of harmful exhaust gas compounds from aircraft piston engines (in Polish). Poznan University of Technology, Thesis no. 517, ISSN: 0551-6528, Poznan 2013.
• 2. Pielecha J.: Identifying parameters of particulates from internal combustion engines (in Polish). Poznan University of Technology, Thesis no. 467, ISSN: 0551-6528, Poznan 2012.
• 3. Rudnicki J., Zadrąg R.: Problems of modelling toxic compounds emitted by a marine internal combustion engine in unsteady states. POLISH MARITIME RESEARCH, Vol. 21, ISSN: 1233-2585, pp. 57-65, Gdansk 2014.
• 4. Zadrąg R.: Criteria for the selection of the diagnostic parameter for diagnosis of marine diesel engine, LOGISTYKA No. 4/2010, ISSN 1231-5478, Poznan 2010.
• 5. Zadrąg R., Zellma M.: Modelling of toxic compounds emission in marine diesel engine during transient states at variable pressure of fuel injection. JOURNAL OF POLISH CIMAC, Vol.8, No 1, ISSN 1231-3998, Gdansk 2014.
• 6. Zadrąg R., Kniaziewicz T.: The identification of toxic compound emission sensitivity as a diagnostic parameter during dynamic processes of the marine engine. JOURNAL OF POLISH CIMEEAC, Vol.10, No 1, ISSN 1231-3998, pp. 161-170, Gdansk 2015.
• 7. Zadrąg R., Kniaziewicz T.: Identification of diagnostic parameter sensitivity during dynamic processes of a marine engine. The 6th INTERNATIONAL CONGRESS ON COMBUSTION ENGINES, PTNSS-2015-3507, Olsztyn 2015.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).