Temat: diagnostic model - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Capability of identifying and predicting the technical condition of plate heat exchangers in operation
Autorzy:: Bzura, P.
Powiązania:: https://bibliotekanauki.pl/articles/2073661.pdf
Data publikacji:: 2015
Wydawca:: Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:: kinetic diagnostic model
thermal flux
Opis:: The paper presents a test stand for plate heat exchangers, allowing to identify the technical condition and to predict durability of the heat exchangers used aboard the sea-going ships: ”Oceanograf”, ”Władysław Orkan”and a passenger-car ferry, under the condition that they are of the same type and manufactured by the same company. In the first part three different installations with plate heat exchangers in the engine rooms of sea-going ships were chosen. Then for those ship installations heat exchangers were selected similar to the plate heat exchangers installed on the laboratory test stand. Next a diagnostic model was developed based on the heat similarity. At the end the measurement results were analysed and it was concluded that durability of plate heat exchangers operated aboard sea-going ships could be predicted.
Źródło:: Journal of Polish CIMEEAC; 2015, 10, 1; 29--35
1231-3998
Pojawia się w:: Journal of Polish CIMEEAC
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Ranking of toxic compound concentrations as diagnostic parameetrs of marine internal combustion engine
Autorzy:: Zadrąg, R.
Kniaziewicz, T.
Powiązania:: https://bibliotekanauki.pl/articles/259107.pdf
Data publikacji:: 2018
Wydawca:: Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:: diagnostic model
Diesel engine
exhaust components
ranking of parameters
Opis:: 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.
Źródło:: Polish Maritime Research; 2018, S 1; 234-242
1233-2585
Pojawia się w:: Polish Maritime Research
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Technical state assessment of charge exchange system of self-ignition engine, based on the exhaust gas composition testing
Autorzy:: Rudnicki, J.
Zadrąg, R.
Powiązania:: https://bibliotekanauki.pl/articles/258598.pdf
Data publikacji:: 2017
Wydawca:: Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:: diagnostic model
self-ignition engine
exhaust gas components
artificial neural networks
Opis:: This paper presents possible use of results of exhaust gas composition testing of self - ignition engine for technical state assessment of its charge exchange system under assumption that there is strong correlation between considered structure parameters and output signals in the form of concentration of toxic compounds (ZT) as well as unambiguous character of their changes. Concentration of the analyzed ZT may be hence considered to be symptoms of engine technical state. At given values of the signals and their estimates it is also possible to determine values of residues which may indicate a type of failure. Available tool programs aimed at analysis of experimental data commonly make use of multiple regression model which allows to investigate effects and interaction between model input quantities and one output variable. Application of multi-equation models provides great freedom during analysis of measurement data as it makes it possible to simultaneously analyze effects and interaction of many output variables. It may be also implemented as a tool for preparation of experimental material for other advanced diagnostic tools such as neural networks which , in contrast to multi-equation models, make it possible to recognize a state at multistate classification and - in consequence – to do diagnostic inference. Here , these authors present merits of application of the above mentioned analytical tools on the example of tests conducted on an experimental engine test stand.
Źródło:: Polish Maritime Research; 2017, S 1; 203-212
1233-2585
Pojawia się w:: Polish Maritime Research
Dostawca treści:: Biblioteka Nauki

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