Bearing Severity Fault Evaluation Using Contour Maps—Case Study
| Autor: | J. Maroto, J. M. Mera, Juan David Cano-Moreno, César Ricardo Soto-Ocampo |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
Technology Computer science QH301-705.5 condition monitoring QC1-999 02 engineering and technology computer.software_genre Fault (power engineering) law.invention bearing diagnosis 020901 industrial engineering & automation law 0202 electrical engineering electronic engineering information engineering General Materials Science envelope analysis Biology (General) Instrumentation QD1-999 Fluid Flow and Transfer Processes Bearing (mechanical) Process Chemistry and Technology Physics 020208 electrical & electronic engineering General Engineering Condition monitoring Engineering (General). Civil engineering (General) contour map Computer Science Applications Vibration Chemistry Contour line Data mining TA1-2040 computer |
| Zdroj: | Applied Sciences, Vol 11, Iss 6452, p 6452 (2021) Applied Sciences Volume 11 Issue 14 |
| ISSN: | 2076-3417 |
| Popis: | Increasing industrial competitiveness has led to an increased global interest in condition monitoring. In this sector, rotating machinery plays an important role, where the bearing is one of the most critical components. Many vibration-based signal treatments are already being used to identify features associated with bearing faults. The information embedded in such features are employed in the construction of health indicators, which allow for evaluation of the current operating status of the machine. In this work, the use of contour maps to represent the diagnosis map of a bearing, used as a health map, is presented for the first time. The results show that the proposed method is promising, allowing for the satisfactory detection and evaluation of the severity of bearing damage. In this initial stage of the research, our results suggest that this method can improve the classification of bearing faults and, therefore, optimise maintenance processes. |
| Databáze: | OpenAIRE |
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