Performance Analysis and Fault Classification in a Large Electric Motor Using Vibration Assessment Technique

6Citations
Citations of this article
12Readers
Mendeley users who have this article in their library.

Abstract

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.

Cite

CITATION STYLE

APA

Suechoey, B., Siriporananon, S., Chupun, P., Boonkhun, C., & Chompooinwai, C. (2021). Performance Analysis and Fault Classification in a Large Electric Motor Using Vibration Assessment Technique. International Journal of Intelligent Engineering and Systems, 14(1), 124–133. https://doi.org/10.22266/IJIES2021.0228.13

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free