To analyze the early Detection of Faults in Bearing at Inner and Outer race using Condition Monitoring

Engineering

Rolling element bearings find widespread domestic and industrial application as it is an important factor in failure of rotating machines and therefore bearings are the one which are exposed the most towards getting damaged and failure. In industrial applications, these bearings are considered as a critical mechanical components and a defect in such a bearing, unless detected in time, causes malfunction and may even lead to catastrophic failure of machinery which results in significant time and economic loss. These types of failures might take place during the manufacturing process and therefore it is important to review the problem and monitor the condition of roller bearings so that the details of failure would occur before any harsh consequences take place. Therefore an early detection and indication is necessary for the safety and reliability of machine. This project focuses on vibration monitoring technique suitable to analyze the defect in bearing. By performing this test, these techniques would reveal information about the progressing faults. From the different maintenance techniques, conditioning monitoring which is one of the techniques is highlighted. It uses the vibration having high frequencies which are generated from faulty bearing, is therefore investigated and compared. Vibration analysis methods are been elaborated and therefore utilised as a medium to fulfil the aim. An experimental set up is used to testify and investigate good bearing and faulty bearing by using different measurements. The vibration signatures caused due to damages at outer race of bearing are examined. The expected results will indicates that faulty bearing has a strong effect on vibration spectrum. This project therefore reveals comparison between frequencies and time domain signals from vibration analysis and it will be validate using suitable software. Overall this project has demonstrated that different techniques are useful in detecting the problems in roller bearings.

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