Issue |
ITM Web Conf.
Volume 15, 2017
II International Conference of Computational Methods in Engineering Science (CMES’17)
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|
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Article Number | 05003 | |
Number of page(s) | 7 | |
Section | Exploitation And Machine Building | |
DOI | https://doi.org/10.1051/itmconf/20171505003 | |
Published online | 15 December 2017 |
Assessing the damage importance rank in acoustic diagnostics of technical conditions of the internal combustion engine with multi-valued logical decision trees
1 Opole University of Technology, Faculty of Production Engineering and Logistics, Institute of Processes and Products Innovation, Ozimska 75, 45-370 Opole, Poland,
2 Opole University of Technology, Faculty of Production Engineering and Logistics, Department of Engineering and Work Safety, Generała Kazimierza Sosnkowskiego 31, 45-272 Opole, Poland
* Corresponding author: a.deptula@po.opole.pl
This paper presents possible applications of acoustic diagnostics in inspecting the technical condition of an internal combustion engine with autoignition on the example of the Fiat drive unit with the common rail system. As a result of measuring the sound pressure level for specific faults and comparing the noise generated by the motor running smoothly, the detailed maps of changes in the acoustic spectrum may be generated. These results may be helpful in future diagnostics of internal combustion engines. In the paper, we present the results from the scientific works in the area of research, design and operation of internal combustion engines, conducted at the Department of Automotive Engineering, in cooperation with the Laboratory of Hydraulic Drives & Vibroacoustics of Machines at the Wroclaw University of Technology. The broader study has so far allowed us to develop an authoritative method of identifying the type of engine damage using gametree structures. The present works assess the possibility of using multi-valued logic trees.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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