Cargando…

The Use of Multicriteria Inference Method to Identify and Classify Selected Combustion Engine Malfunctions Based on Vehicle Structure Vibrations

Internal combustion engines are among the most commonly used propulsion units for drive systems in various industries such as land transportation, maritime transportation, and power generation. Their operation involves a continuous change of technical condition as a result of not only the combustion...

Descripción completa

Detalles Bibliográficos
Autores principales: Prażnowski, Krzysztof, Bieniek, Andrzej, Mamala, Jarosław, Deptuła, Adam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8038260/
https://www.ncbi.nlm.nih.gov/pubmed/33918333
http://dx.doi.org/10.3390/s21072470
_version_ 1783677334143893504
author Prażnowski, Krzysztof
Bieniek, Andrzej
Mamala, Jarosław
Deptuła, Adam
author_facet Prażnowski, Krzysztof
Bieniek, Andrzej
Mamala, Jarosław
Deptuła, Adam
author_sort Prażnowski, Krzysztof
collection PubMed
description Internal combustion engines are among the most commonly used propulsion units for drive systems in various industries such as land transportation, maritime transportation, and power generation. Their operation involves a continuous change of technical condition as a result of not only the combustion process but also their operation under conditions of variable load or ambient impact. It is therefore important to monitor the technical condition of internal combustion engines to ensure high performance and reliability over their lifetime. The article presents the test results obtained from incorrect operation of an internal combustion engine as a result of forced failures of the ignition and injection system. On this basis, a multicriteria comparison of the signal analysis of engine block vibrations was made, after the transformation of the signal from the time domain to the frequency domain, by using the induction technique obtained from the operation of decision tree algorithms. For this purpose, the amplitude spectrum in the frequency domain, scaled to absolute values of discretization for which teaching and testing data tables were created for successive harmonics, was determined for the engine block vibration signal being tested. On the basis of the developed algorithm using decision trees, a multicriteria data table was analyzed for which a compatibility path for the analyzed engine block vibration signal is created. In this way, it is confirmed with a specified degree of effectiveness, depending on the point of operation of the engine resulting from its crankshaft speed, that there is a possibility of detecting a preset ignition or injection system malfunction in the technical condition of the internal combustion engine with a probability up to about 72%.
format Online
Article
Text
id pubmed-8038260
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-80382602021-04-12 The Use of Multicriteria Inference Method to Identify and Classify Selected Combustion Engine Malfunctions Based on Vehicle Structure Vibrations Prażnowski, Krzysztof Bieniek, Andrzej Mamala, Jarosław Deptuła, Adam Sensors (Basel) Article Internal combustion engines are among the most commonly used propulsion units for drive systems in various industries such as land transportation, maritime transportation, and power generation. Their operation involves a continuous change of technical condition as a result of not only the combustion process but also their operation under conditions of variable load or ambient impact. It is therefore important to monitor the technical condition of internal combustion engines to ensure high performance and reliability over their lifetime. The article presents the test results obtained from incorrect operation of an internal combustion engine as a result of forced failures of the ignition and injection system. On this basis, a multicriteria comparison of the signal analysis of engine block vibrations was made, after the transformation of the signal from the time domain to the frequency domain, by using the induction technique obtained from the operation of decision tree algorithms. For this purpose, the amplitude spectrum in the frequency domain, scaled to absolute values of discretization for which teaching and testing data tables were created for successive harmonics, was determined for the engine block vibration signal being tested. On the basis of the developed algorithm using decision trees, a multicriteria data table was analyzed for which a compatibility path for the analyzed engine block vibration signal is created. In this way, it is confirmed with a specified degree of effectiveness, depending on the point of operation of the engine resulting from its crankshaft speed, that there is a possibility of detecting a preset ignition or injection system malfunction in the technical condition of the internal combustion engine with a probability up to about 72%. MDPI 2021-04-02 /pmc/articles/PMC8038260/ /pubmed/33918333 http://dx.doi.org/10.3390/s21072470 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Prażnowski, Krzysztof
Bieniek, Andrzej
Mamala, Jarosław
Deptuła, Adam
The Use of Multicriteria Inference Method to Identify and Classify Selected Combustion Engine Malfunctions Based on Vehicle Structure Vibrations
title The Use of Multicriteria Inference Method to Identify and Classify Selected Combustion Engine Malfunctions Based on Vehicle Structure Vibrations
title_full The Use of Multicriteria Inference Method to Identify and Classify Selected Combustion Engine Malfunctions Based on Vehicle Structure Vibrations
title_fullStr The Use of Multicriteria Inference Method to Identify and Classify Selected Combustion Engine Malfunctions Based on Vehicle Structure Vibrations
title_full_unstemmed The Use of Multicriteria Inference Method to Identify and Classify Selected Combustion Engine Malfunctions Based on Vehicle Structure Vibrations
title_short The Use of Multicriteria Inference Method to Identify and Classify Selected Combustion Engine Malfunctions Based on Vehicle Structure Vibrations
title_sort use of multicriteria inference method to identify and classify selected combustion engine malfunctions based on vehicle structure vibrations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8038260/
https://www.ncbi.nlm.nih.gov/pubmed/33918333
http://dx.doi.org/10.3390/s21072470
work_keys_str_mv AT praznowskikrzysztof theuseofmulticriteriainferencemethodtoidentifyandclassifyselectedcombustionenginemalfunctionsbasedonvehiclestructurevibrations
AT bieniekandrzej theuseofmulticriteriainferencemethodtoidentifyandclassifyselectedcombustionenginemalfunctionsbasedonvehiclestructurevibrations
AT mamalajarosław theuseofmulticriteriainferencemethodtoidentifyandclassifyselectedcombustionenginemalfunctionsbasedonvehiclestructurevibrations
AT deptułaadam theuseofmulticriteriainferencemethodtoidentifyandclassifyselectedcombustionenginemalfunctionsbasedonvehiclestructurevibrations
AT praznowskikrzysztof useofmulticriteriainferencemethodtoidentifyandclassifyselectedcombustionenginemalfunctionsbasedonvehiclestructurevibrations
AT bieniekandrzej useofmulticriteriainferencemethodtoidentifyandclassifyselectedcombustionenginemalfunctionsbasedonvehiclestructurevibrations
AT mamalajarosław useofmulticriteriainferencemethodtoidentifyandclassifyselectedcombustionenginemalfunctionsbasedonvehiclestructurevibrations
AT deptułaadam useofmulticriteriainferencemethodtoidentifyandclassifyselectedcombustionenginemalfunctionsbasedonvehiclestructurevibrations