Bearing Condition Monitoring for Rotating Equipment
Abstract
In industries, high maintenance cost is one of the main concerns. Most of the budget for maintenance is spent ineffectively. Many of them still use run-to-failure and preventive strategies as their concept of maintenance strategy, and they still don’t have the proper tools to identify the condition of the machine. Bearings are one of the most critical elements for rotating equipment in the machineries. Establishing a predictive maintenance method by monitoring the current situation of the bearing will maximize the life span of the path and reduce the total cost of maintenance. In this work, to know the condition of a bearing, it is necessary to capture the vibration at high-frequency range. By analyzing the vibration pattern, the bearing failure in an earlier stage can be properly identified.