Open AccessPerformance Analysis and Fault Classification in a Large Electric Motor Using Vibration Assessment Technique
Author(s) -
B. Suechoey,
Somsak Siriporana,
Pana Chupun,
Churirat Boonkhun,
Chow Chompooinwai
Publication year - 2021
Publication title -
international journal of intelligent engineering and systems
Language(s) - English
Resource type - Journals
eISSN - 2185-310X
pISSN - 1882-708X
DOI - 10.22266/ijies2021.0228.13
Subject(s) - vibration , electric motor , rotor (electric) , computer science , fault (geology) , bearing (navigation) , induction motor , automotive engineering , engineering , voltage , mechanical engineering , electrical engineering , physics , acoustics , artificial intelligence , geology , seismology
This research paper presents an analysis of electric motors performance by the assessment of vibration characteristics caused by bearing faults, housing bearing looseness and rotor unbalance. In this study, an analysis of fault that occurred in electric motor has followed ISO 10816-3 Standard. Bring the used electric motors for testing and measuring the vibration of the electric motors by using the Spectrum Analysis & Field Balancing Analyzer model ADASH A440-VA4 Pro. The vibration results of 22kW, 55kW and 75kW motor imply the malfunction of bearing faults, housing bearing looseness, and rotor unbalance. The results obtained from the analysis will be used as references and guidelines for predictions of faults in the electric motors, including maintenance scheduling of electric motors.