<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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 [<xref ref-type="bibr" rid="j_pomr-2018-0047_ref_004_w2aab3b7c32b1b6b1ab1ab4Aa">4</xref>,<xref ref-type="bibr" rid="j_pomr-2018-0047_ref_006_w2aab3b7c32b1b6b1ab1ab6Aa">6</xref>,<xref ref-type="bibr" rid="j_pomr-2018-0047_ref_007_w2aab3b7c32b1b6b1ab1ab7Aa">7</xref>], 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.</p></abstract>

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.

Ranking of Toxic Compound Concentrations As Diagnostic Parameetrs of Marine Internal Combustion Engine

Polish Maritime Research

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Changing selected engine structure parameters, especially fuel system parameters, affects the emission of harmful compounds in the exhaust gas. Changes in...

Ranking of Toxic Compound Concentrations As Diagnostic Parameetrs of Marine Internal Combustion Engine

Data publikacji: 07 cze 2018

Zakres stron: 234 - 242

DOI: https://doi.org/10.2478/pomr-2018-0047

Słowa kluczowe
diagnostic model, Diesel engine, exhaust components, ranking of parameters

© 2018 Ryszard Zadrąg et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Ranking of Toxic Compound Concentrations As Diagnostic Parameetrs of Marine Internal Combustion Engine

Data publikacji: 07 cze 2018

Zakres stron: 234 - 242

DOI: https://doi.org/10.2478/pomr-2018-0047

Słowa kluczowediagnostic model, Diesel engine, exhaust components, ranking of parameters

© 2018 Ryszard Zadrąg et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Słowa kluczowe
diagnostic model, Diesel engine, exhaust components, ranking of parameters