THE USE OF A FUZZY EXPERT SYSTEM TO INCREASE THE RELIABILITY OF DIAGNOSTICS OF AXLE BOXES OF ROLLING STOCKS
This paper is devoted to the development of an effective system for monitoring the technical condition of the axle boxes of rolling stock. To this end, the possibility of solving problems of fault diagnostics based on the theory of fuzzy sets is considered. This allows one note such difficult-to-for...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Silesian University of Technology
2020-06-01
|
| Series: | Scientific Journal of Silesian University of Technology. Series Transport |
| Subjects: | |
| Online Access: | http://sjsutst.polsl.pl/archives/2020/vol107/095_SJSUTST107_2020_Manafov.pdf |
| _version_ | 1818622036204847104 |
|---|---|
| author | Elshan MANAFOV |
| author_facet | Elshan MANAFOV |
| author_sort | Elshan MANAFOV |
| collection | DOAJ |
| description | This paper is devoted to the development of an effective system for monitoring the technical condition of the axle boxes of rolling stock. To this end, the possibility of solving problems of fault diagnostics based on the theory of fuzzy sets is considered. This allows one note such difficult-to-formalise factors as experience and intuition of a highly qualified expert specialist. It showed that an expert system-based monitoring approach allows evaluation of the technical condition of the axle boxes, characterised by internal and external operating uncertainty. It also proposed the use of parameters such as vibration and noise for comprehensive monitoring of the technical condition of axle box units together with temperature. Furthermore, the combination of these diagnostic parameters and expert system’s possibility to receive all necessary information about the condition of the most critical components of the axle boxes in real-time and analyse the changes in their operational parameters was explored. The stages of modelling an expert system in the Fuzzy Logic Toolbox package of the MATLAB computing environment are presented. |
| first_indexed | 2024-12-16T18:18:47Z |
| format | Article |
| id | doaj.art-9ce88e50ec6747578734c5aaf26a2756 |
| institution | Directory Open Access Journal |
| issn | 0209-3324 2450-1549 |
| language | English |
| last_indexed | 2024-12-16T18:18:47Z |
| publishDate | 2020-06-01 |
| publisher | Silesian University of Technology |
| record_format | Article |
| series | Scientific Journal of Silesian University of Technology. Series Transport |
| spelling | doaj.art-9ce88e50ec6747578734c5aaf26a27562022-12-21T22:21:37ZengSilesian University of TechnologyScientific Journal of Silesian University of Technology. Series Transport0209-33242450-15492020-06-0110710795106https://doi.org/10.20858/sjsutst.2020.107.7THE USE OF A FUZZY EXPERT SYSTEM TO INCREASE THE RELIABILITY OF DIAGNOSTICS OF AXLE BOXES OF ROLLING STOCKSElshan MANAFOVThis paper is devoted to the development of an effective system for monitoring the technical condition of the axle boxes of rolling stock. To this end, the possibility of solving problems of fault diagnostics based on the theory of fuzzy sets is considered. This allows one note such difficult-to-formalise factors as experience and intuition of a highly qualified expert specialist. It showed that an expert system-based monitoring approach allows evaluation of the technical condition of the axle boxes, characterised by internal and external operating uncertainty. It also proposed the use of parameters such as vibration and noise for comprehensive monitoring of the technical condition of axle box units together with temperature. Furthermore, the combination of these diagnostic parameters and expert system’s possibility to receive all necessary information about the condition of the most critical components of the axle boxes in real-time and analyse the changes in their operational parameters was explored. The stages of modelling an expert system in the Fuzzy Logic Toolbox package of the MATLAB computing environment are presented.http://sjsutst.polsl.pl/archives/2020/vol107/095_SJSUTST107_2020_Manafov.pdfrolling stockaxle boxcontrolfaultfuzzy setstechnical conditiontemperaturevibrationnoise |
| spellingShingle | Elshan MANAFOV THE USE OF A FUZZY EXPERT SYSTEM TO INCREASE THE RELIABILITY OF DIAGNOSTICS OF AXLE BOXES OF ROLLING STOCKS Scientific Journal of Silesian University of Technology. Series Transport rolling stock axle box control fault fuzzy sets technical condition temperature vibration noise |
| title | THE USE OF A FUZZY EXPERT SYSTEM TO INCREASE THE RELIABILITY OF DIAGNOSTICS OF AXLE BOXES OF ROLLING STOCKS |
| title_full | THE USE OF A FUZZY EXPERT SYSTEM TO INCREASE THE RELIABILITY OF DIAGNOSTICS OF AXLE BOXES OF ROLLING STOCKS |
| title_fullStr | THE USE OF A FUZZY EXPERT SYSTEM TO INCREASE THE RELIABILITY OF DIAGNOSTICS OF AXLE BOXES OF ROLLING STOCKS |
| title_full_unstemmed | THE USE OF A FUZZY EXPERT SYSTEM TO INCREASE THE RELIABILITY OF DIAGNOSTICS OF AXLE BOXES OF ROLLING STOCKS |
| title_short | THE USE OF A FUZZY EXPERT SYSTEM TO INCREASE THE RELIABILITY OF DIAGNOSTICS OF AXLE BOXES OF ROLLING STOCKS |
| title_sort | use of a fuzzy expert system to increase the reliability of diagnostics of axle boxes of rolling stocks |
| topic | rolling stock axle box control fault fuzzy sets technical condition temperature vibration noise |
| url | http://sjsutst.polsl.pl/archives/2020/vol107/095_SJSUTST107_2020_Manafov.pdf |
| work_keys_str_mv | AT elshanmanafov theuseofafuzzyexpertsystemtoincreasethereliabilityofdiagnosticsofaxleboxesofrollingstocks AT elshanmanafov useofafuzzyexpertsystemtoincreasethereliabilityofdiagnosticsofaxleboxesofrollingstocks |