Pre-detection of Fault in Bearing using MATLAB and Validation through FFT Analysis

Mechanical Engineering

Rolling element bearings find widespread domestic and industrial applications as it is an important factor in the failure of rotating machines and therefore bearings are the ones that are exposed the most towards getting damaged and failure. In industrial applications, these bearings are considered as a critical mechanical component 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 early detection and indication are necessary for the safety and reliability of monitoring techniques suitable to analyze the defect This paper focuses conditioning monitoring tech. vibration analysis and acoustic analysis methods. An experimental set up is used to testify and investigate good bearing and faulty bearing by using different measurement tools pulse software, visteck analyzer to measure amplitude, sensors to obtain faulty signals, and computer-oriented programming software MATLAB for finding faulty frequencies at the inner race.

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