Air gap Eccentricity Analysis in Induction Motor using Decision tree Algorithm

This paper presents yeah the eccentricity Fault in induction motor. decision tree and Power spectrum Analysis methods are used to analyze spectrum. Induction motor is very much like industry. It also a lot due its easy control quality. All three-phase motors have mismatch eccentricity. Due this problem we got speed pulsation, vibration acoustic noise, friction between stator rotor. The proposed methodology useful on Real-time data achieves 90% true Value. installation of various Sensors order maintain Good condition costly. In small industry, I would avoid cost. Status current contains unique fault components find with using algorithm .We can easily air gap faults.