FAULT DETECTION BY VIBRATION ANALYSIS OF MACHINE

FAULT DETECTION BY VIBRATION ANALYSIS OF MACHINE

Rahul Acharya1, Aniket Jaiswal2, Rituanjay Singh Rathore3, Ranu Katakwar4

^1,2,3,4 Student, Dept. of Electrical Engineering, Shri Shankaracharya Technical Campus, Bhilai, Chhattisgarh, India.

Abstract - Machine uptime may be increased in industrial applications by using equipment monitoring. This reduces the likelihood of unexpected failures and subsequent plant outages. Because all failure scenarios may increase machine vibrations, monitoring this region is the most common and commonly utilized way for determining equipment status and predicting failures.

The goal of this research is to use vibration analysis to detect flaws in rotating machinery. An AC motor drive controls the operational speed of the motor in a motor condition monitoring experiment. The motor's vibration is detected and monitored. Spectrum analysis tools and a MATLAB programmed are used to evaluate the recorded vibration data. The entire vibration level is determined, and the vibration intensity is compared to the standard seriousness table to establish the motor's condition. The natural frequency correlates to the type of defect or failure scenario indicated. This data provides insight into the machine's condition.

Index Terms- Vibration analysis, Forecasting defects, Location of faults, electronic control system, Motor function and condition.