Open AccessAir gap Eccentricity Analysis in Induction Motor using Decision tree Algorithm
Author(s) -
Rama K. Mishra,
AUTHOR_ID,
Edwin Vijay Kumar,
AUTHOR_ID
Publication year - 2022
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.c9721.0111322
Subject(s) - induction motor , stator , eccentricity (behavior) , decision tree , control theory (sociology) , vibration , fault tree analysis , rotor (electric) , computer science , noise (video) , algorithm , engineering , control engineering , acoustics , artificial intelligence , reliability engineering , control (management) , physics , mechanical engineering , electrical engineering , voltage , political science , law , image (mathematics)
This paper presents yeah the eccentricity Fault in the induction motor. the decision tree and Power spectrum Analysis methods are used to analyze the spectrum. Induction motor is very much like in the industry. It is also used a lot due to its easy control quality. All three-phase induction motors have mismatch eccentricity. Due to this eccentricity problem we got speed pulsation, vibration acoustic noise, and friction problem between stator and rotor. The proposed methodology is useful on Real-time data and achieves 90% true Value. The installation of various Sensors in order to maintain the Good condition of the induction motor is very costly. In the small industry, I would like to avoid this cost. The Status current contains unique fault spectrum components find fault with using a decision tree algorithm .We can easily analyze the air gap eccentricity faults.