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.
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CITATION STYLE
Goundar, S. S., Pillai, M. R., Mamun, K. A., Islam, F. R., & Deo, R. (2016). Real time condition monitoring system for industrial motors. In 2015 2nd Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2015. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/APWCCSE.2015.7476232
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