Rolling element bearings are critical components and widely used in many rotating machines such as automobiles, aerospace, weaving, machine tools that frequently fail. The defects in the rolling element bearings may come up mainly due to the following reasons; improper design of the bearing or improper manufacturing or mounting, misalignment of bearing races, unequal diameter of rolling element, improper lubrication, overloading, fatigue and uneven wear. The vibration of the bearingrotor influences the security, performance of the rotating machines and working life of the whole plant. Although several techniques have been reported in the literature for bearing fault detection and diagnosis, it is still challenging to implement a bearing condition monitoring system for real-world industrial applications because of the complexity of bearing structures and noisy operating conditions. the purpose of the study is to investigate the vibration and noise producing characteristics of large rolling element bearings by vibration analysis, with the ultimate aim of devising means to reduce vibration and noise caused by these bearings for all audio and subsonic frequencies.
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