CONCEPTION OF USE VIBROACOUSTIC SIGNALS AND NEURAL NETWORKS FOR DIAGNOSING OF CHOSEN ELEMENTS OF INTERNAL COMBUSTION ENGINES IN CAR VEHICLES
Currently used diagnostics systems are not always efficient and do not give straightforward results which allow for the assessment of the technological condition of the engine or for the identification of the possible damages in their early stages of development. Growing requirements concerning dura...
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| Format: | Article |
| Language: | English |
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Silesian University of Technology
2014-03-01
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| Series: | Scientific Journal of Silesian University of Technology. Series Transport |
| Subjects: | |
| Online Access: | http://www.polsl.pl/Wydzialy/RT/ZN_T/pelne_teksty/z82/51_ZN82_2014_Czech.pdf |
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| _version_ | 1850084620235702272 |
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| author | Piotr CZECH |
| author_facet | Piotr CZECH |
| author_sort | Piotr CZECH |
| collection | DOAJ |
| description | Currently used diagnostics systems are not always efficient and do not give straightforward results which allow for the assessment of the technological condition of the engine or for the identification of the possible damages in their early stages of development. Growing requirements concerning durability, reliability, reduction of costs to minimum and decrease of negative influence on the natural environment are the reasons why there is a need to acquire information about the technological condition of each of the elements of a vehicle during its exploitation. One of the possibilities to achieve information about technological condition of a vehicle are vibroacoustic phenomena.
Symptoms of defects, achieved as a result of advanced methods of vibroacoustic signals processing can serve as models which can be used during construction of intelligent diagnostic system based on artificial neural networks. The work presents conception of use artificial neural networks in the task of combustion engines diagnosis. |
| format | Article |
| id | doaj-art-02aadcb4164442d88ce7eb82aa5c78cf |
| institution | DOAJ |
| issn | 0209-3324 2450-1549 |
| language | English |
| publishDate | 2014-03-01 |
| publisher | Silesian University of Technology |
| record_format | Article |
| series | Scientific Journal of Silesian University of Technology. Series Transport |
| spelling | doaj-art-02aadcb4164442d88ce7eb82aa5c78cf2025-08-20T02:43:58ZengSilesian University of TechnologyScientific Journal of Silesian University of Technology. Series Transport0209-33242450-15492014-03-01825158CONCEPTION OF USE VIBROACOUSTIC SIGNALS AND NEURAL NETWORKS FOR DIAGNOSING OF CHOSEN ELEMENTS OF INTERNAL COMBUSTION ENGINES IN CAR VEHICLESPiotr CZECHCurrently used diagnostics systems are not always efficient and do not give straightforward results which allow for the assessment of the technological condition of the engine or for the identification of the possible damages in their early stages of development. Growing requirements concerning durability, reliability, reduction of costs to minimum and decrease of negative influence on the natural environment are the reasons why there is a need to acquire information about the technological condition of each of the elements of a vehicle during its exploitation. One of the possibilities to achieve information about technological condition of a vehicle are vibroacoustic phenomena. Symptoms of defects, achieved as a result of advanced methods of vibroacoustic signals processing can serve as models which can be used during construction of intelligent diagnostic system based on artificial neural networks. The work presents conception of use artificial neural networks in the task of combustion engines diagnosis.http://www.polsl.pl/Wydzialy/RT/ZN_T/pelne_teksty/z82/51_ZN82_2014_Czech.pdfdiagnosticsvibroacoustic signalsneural networkscombustion engines |
| spellingShingle | Piotr CZECH CONCEPTION OF USE VIBROACOUSTIC SIGNALS AND NEURAL NETWORKS FOR DIAGNOSING OF CHOSEN ELEMENTS OF INTERNAL COMBUSTION ENGINES IN CAR VEHICLES Scientific Journal of Silesian University of Technology. Series Transport diagnostics vibroacoustic signals neural networks combustion engines |
| title | CONCEPTION OF USE VIBROACOUSTIC SIGNALS AND NEURAL NETWORKS FOR DIAGNOSING OF CHOSEN ELEMENTS OF INTERNAL COMBUSTION ENGINES IN CAR VEHICLES |
| title_full | CONCEPTION OF USE VIBROACOUSTIC SIGNALS AND NEURAL NETWORKS FOR DIAGNOSING OF CHOSEN ELEMENTS OF INTERNAL COMBUSTION ENGINES IN CAR VEHICLES |
| title_fullStr | CONCEPTION OF USE VIBROACOUSTIC SIGNALS AND NEURAL NETWORKS FOR DIAGNOSING OF CHOSEN ELEMENTS OF INTERNAL COMBUSTION ENGINES IN CAR VEHICLES |
| title_full_unstemmed | CONCEPTION OF USE VIBROACOUSTIC SIGNALS AND NEURAL NETWORKS FOR DIAGNOSING OF CHOSEN ELEMENTS OF INTERNAL COMBUSTION ENGINES IN CAR VEHICLES |
| title_short | CONCEPTION OF USE VIBROACOUSTIC SIGNALS AND NEURAL NETWORKS FOR DIAGNOSING OF CHOSEN ELEMENTS OF INTERNAL COMBUSTION ENGINES IN CAR VEHICLES |
| title_sort | conception of use vibroacoustic signals and neural networks for diagnosing of chosen elements of internal combustion engines in car vehicles |
| topic | diagnostics vibroacoustic signals neural networks combustion engines |
| url | http://www.polsl.pl/Wydzialy/RT/ZN_T/pelne_teksty/z82/51_ZN82_2014_Czech.pdf |
| work_keys_str_mv | AT piotrczech conceptionofusevibroacousticsignalsandneuralnetworksfordiagnosingofchosenelementsofinternalcombustionenginesincarvehicles |