Title :
Real time condition monitoring system for industrial motors
Author :
S. S. Goundar;M. R. Pillai;K. A. Mamun;F. R. Islam;R. Deo
Author_Institution :
School of Engineering and Physics, Faculty of Science, Technology and Environment, The University of the South Pacific Suva, Fiji
Abstract :
In generally, predictive maintenance of induction motors is well suited for small to larger scale industries in order to reduce downtime, increase efficiency and reliability. In this paper, the vibration and temperature of the induction motor is analyzed in order to gather specific information that can predict motor´s bearing failure. Well analyzed vibration signal easily shows the difference between the running operation of the healthy and faulty motor. Using IoT, this paper shows Real Time Condition Monitoring System for Industrial Motors.
Keywords :
"Induction motors","Temperature sensors","Vibrations","DC motors","Temperature measurement"
Conference_Titel :
Computer Science and Engineering (APWC on CSE), 2015 2nd Asia-Pacific World Congress on
DOI :
10.1109/APWCCSE.2015.7476232
