Issue |
MATEC Web Conf.
Volume 183, 2018
12th International Conference Quality Production Improvement – QPI 2018
|
|
---|---|---|
Article Number | 03009 | |
Number of page(s) | 7 | |
Section | Quality Management | |
DOI | https://doi.org/10.1051/matecconf/201818303009 | |
Published online | 31 July 2018 |
The idea of fuzzy logic usage in a sheet-based FMEA analysis of mechanical systems
1
Cracow University of Technology, Faculty of Mechanical Engineering, Jana Pawła II 37, 31-864 Cracow, Poland
2
Western Norway University of Applied Sciences, Inndalsveien 28, 5063 Bergen, Norway
* Corresponding author: filo@mech.pk.edu.pl
The main purpose of the work which was carried out and is presented in this paper was to examine the possibility of using fuzzy logic inference for conducting a risk analysis with the help of a sheet-based Failure Mode and Effects Analysis method (FMEA). At the beginning, the main features of the analysed method were presented, with particular emphasis put on the Risk, Priority and Number parameters. Then, a proposal has been made which suggests using Matlab Fuzzy Logic Toolbox package in order to convert the factors into the form of fuzzy sets and to define rules for fuzzy inference process has been made. Finally, the created fuzzy logic model was used to present an example analysis of a turbocharger failure in the fuzzified form.
© 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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.