Bearing Severity Fault Evaluation Using Contour Maps-Case Study

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.

Automated summary

The increasing industrial competitiveness globally has sparked a growing interest in condition monitoring, particularly in the role of rotating machinery and the critical component of bearings. Vibration-based signal treatments are being used to identify features associated with bearing faults, which are then used to construct health indicators for evaluating current machine operating status. The use of contour maps to represent a bearing's diagnosis map, serving as a health map, shows promise in detecting and evaluating the severity of bearing damage, potentially improving the classification of bearing faults and optimizing maintenance processes.