Condition monitoring is essential to maintaining the dependability and longevity of rotating machinery in industrial operations. Vibration analysis has become the cornerstone of condition monitoring procedures since it is used extensively in the majority of industrial facilities. On the other hand, manually analyzing vibration signals takes a lot of time, expertise, and frequently specific topic knowledge. Intelligent rotating machinery diagnostics will be essential in challenging activities aimed at improving machine performance. A thorough grasp of the gearbox’s vibration response is necessary for the accurate identification of defects in it. The vibration characteristics of a healthy and a faulty system are observed in this study. The vibration characteristics of a healthy system and a faulty system are examined and discussed under various circumstances. The ANN model is used to classify the faults in a system.