Wyniki wyszukiwania - BazTech

1

Utilization of the zero unitarization method for the building of a ranking for diagnostic marine engine parameters

Zadrąg R., Kniaziewicz T.

Combustion Engines

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2017

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R. 56, nr 4

44--50

EN

Changing some of the parameters of the engine structure affects the emission of harmful components in the exhaust gases. This primarily concerns damage in the cargo exchange system as well as in the fuel system and engine boost system. Changes in emissions of harmful compounds are often ambiguous, depending largely on the parameters that shape the combustion process. An additional problem is that often simple but undesired interactions occur with the interaction of these parameters. It is therefore possible to speak of different diagnostic parameters' sensitivity to the same extractions from the engine structure, but implemented in other load states. In cases where the set of parameters is numerous and the values of these parameters are similar, there is a real problem with their proper classification, often based on the discretion of the researcher. In the paper the authors propose a methodology for classification of acquired diagnostic parameters. In previous papers [4, 5], Hellwig's method of information capacity index was proposed as a measure of diagnostic parameter sensitivity. This method can be used to build a diagnostic parameter ranking that divides the set of diagnostic variables into stimulators, destimulators and nominators. This normalization of the set seems to be helpful in making a diagnostic decision not influenced by the discretion of the researcher. The zero unitary method can also be helpful in creating diagnostic tests.

2

Modelling of toxic compounds emission in marine diesel engine during transient states at variable pressure of fuel injection

Zadrąg R., Zellma M.

Journal of Polish CIMAC

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2014

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Vol. 9, no 1

135--144

EN

Transient states are an important part o f the spectrum of engine loads, especially the traction engines. In the case of marine diesel engines , transient states are of particular importance in reducing the analysis of motion units for special areas and maneuvering in port, the participation of transient states in the load spectrum significantly increases, also, the emission of toxic compounds from this period increases proportionally. The factors which determine the value of the emission are the forces shaping transient states a nd the technical condition of the engine itself. To describe the transient states , authors propose the use of multi equation models , the presented material focuses on the analysis of changes in toxic compound concentrations during transients at varying pressures of the injector opening, which is a typical regulatory parameter that undergoes relatively frequent changes in the process of using the engine. This paper presents a description of transient states using multi equation models, and the analysis of their relevance. It also presents a comparison of toxic compounds concentration at modified angles of fuel injection advance.

3

The use of multi-equation models in the analysis of dynamic processes in marine diesel engines

Zadrąg R., Zellma M.

Silniki Spalinowe

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2012

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R. 51, nr 4

77-85

EN

Contemporary empirical research on combustion engines are processed based on the theory of experiment. Available software applications analyzing the experimental data commonly utilize multiple regression models, which enables studying of the effects and interactions between input values of the model and a single output variable. Using multi-equation models gives free hand at analyzing measurement results because it enables analysis of the effects and interaction of many output variables. It also allows analysis of the measurement results during dynamic processes. In this paper the author presents advantages of using a multidimensional regression model on the example of research conducted on engine test stand.

PL

Współczesne badania silnikowe przeprowadza się na podstawie teorii eksperymentu. Dostępne aplikacje programów służących do analizy danych eksperymentalnych powszechnie wykorzystują model regresji wielokrotnej, który umożliwia badanie efektów i interakcji pomiędzy wielkościami wejściowymi modelu a jedną zmienną wyjściową. Zastosowanie modeli wielorównaniowych daje więcej swobody podczas analizy wyników pomiarowych, gdyż umożliwia jednoczesną analizę efektów i interakcji wielu zmiennych wyjściowych. Umożliwia również analizę wyników pomiarów podczas procesów dynamicznych. W pracy przedstawiono zalety stosowania modelu regresji wielowymiarowej na przykładzie badań przeprowadzonych na stanowisku silnika badawczego.