| Issue |
MATEC Web Conf.
Volume 182, 2018
17th International Conference Diagnostics of Machines and Vehicles
|
|
|---|---|---|
| Article Number | 01013 | |
| Number of page(s) | 6 | |
| Section | Diagnostics of Machines and Vehicles | |
| DOI | https://doi.org/10.1051/matecconf/201818201013 | |
| Published online | 30 July 2018 | |
The diagnostic information valuation method in servicing tractors
1
Poznań University of Technology, Faculty of Machines and Transport, ul. Piotrowo 3, 60-965 Poznan, Poland
2
Poznań University of Life Sciences, Institute of Biosystems Engineering, ul. Wojska Polskiego 28, 60-637 Poznan, Poland
* Corresponding author : zaneta.staszak@put.poznan.pl
The objective of the article was to develop a method of evaluating diagnostic information basing on the existing systems of agricultural tractors diagnostic used in authorized service centers, which will improve of the quality of the evaluation process. Initially, available tractor diagnostic systems were identified in order to gather information about individual diagnostic signals. Following that, the information was verified by empirical evidence concerning a given failure. Thus, the work presents an original evaluation method of the information obtained from the agricultural tractor diagnostic. Obtaining diagnostic information generates certain costs, hence, it is necessary to rationalize and make the processes efficient. Further part of the thesis contains a description and logical verification of the developed method using empirical database. Finally, we presented the method's application for evaluating diagnostic information obtained from the tractor computer diagnostic, in order to examine its effectiveness and for a final verification.The described method of validating diagnostic information creates new cognitive and pragmatic possibilities.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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