Bearing Fault Diagnostic Based on Vibration Analysis Under Constant Radial Load

Rolling bearings are indispensable elements in industrial machines, with the function of supporting the shaft and reducing friction between shaft and housing during rotation. Damage that occurs inside the bearing will directly affect the working capabilities of the machine. For equipment that plays an important role in the production line, sudden unplanned machine shutdowns are taboo, causing great losses. Therefore, building a reasonable shutdown plan will help minimize the risk of loss due to unexpected damage or waste due to periodic replacement even though the equipment is still capable of being served. Analyzing the signals emitted from equipment based on condition monitoring is a reliable basis for assessing equipment life. There are many methods to monitor rotating equipment such as machine vibration measurement, oil analysis, temperature measurement, noise measurement, etc. Among them, equipment monitoring method based on machine vibration signals is widely used. This study focuses on analyzing vibration patterns on rolling bearings. Experimentally measuring vibration signals on rolling bearings for different types of damage caused, comparing, and verifying with theoretical basis from previous studies. Then, collect vibration signals on the bearing under the impact of constant external load throughout the working life of the bearing, performed on many bearings of the same type to ensure signal reliability. Analyze the vibration signals obtained, thereby creating a database for predicting the remaining life of the bearing during operation.