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Real time condition monitoring system for industrial motors

Goundar, Shivneel and Pillai, Muni and Mamun, Kabir and Islam, F M Rabiul and Deo, Ravin N. (2015) Real time condition monitoring system for industrial motors. [Conference Proceedings]

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    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.

    Item Type: Conference Proceedings
    Uncontrolled Keywords: condition monitoring;failure analysis;induction motors;machine bearings;maintenance engineering;mechanical engineering computing;power engineering computing;signal processing;vibrations;IoT;induction motors;industrial motors;motor bearing failure prediction;predictive maintenance;real time condition monitoring system;vibration signal analysis;DC motors;Induction motors;Temperature measurement;Temperature sensors;Vibrations;Induction Motor;Internet of Things;Vibration Analysis
    Subjects: T Technology > TA Engineering (General). Civil engineering (General)
    T Technology > TK Electrical engineering. Electronics Nuclear engineering > Robotics and Automation
    Divisions: Faculty of Science, Technology and Environment (FSTE) > School of Engineering and Physics
    Depositing User: Kabir Mamun
    Date Deposited: 07 Jul 2016 13:07
    Last Modified: 07 Oct 2016 11:47
    URI: http://repository.usp.ac.fj/id/eprint/9005
    UNSPECIFIED

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