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Protection System for Industrial Motors using Vibration sensor and Arduino Microcontroller
Author(s) -
Jagadiswaran Chelvarajah,
Ravi Lakshmanan,
Sathish Kumar Selvaperumal
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1228/1/012065
Subject(s) - microcontroller , servomotor , vibration , acceleration , operating speed , automotive engineering , arduino , computer science , dc motor , engineering , computer hardware , embedded system , electrical engineering , physics , civil engineering , classical mechanics , quantum mechanics , artificial intelligence
The core aim of this research is to develop a protection system for the industrial motors by analyzing vibration and temperature parameters and to automatically reduce the operating speed of the motor with an alarm indication when the threshold of both the parameters are exceeded. All the algorithms for the functionality along with the GUI of the system is built using LabVIEW. The automated speed control of the system is done by integrating a servo motor with algorithms built which acts based on the output of both the sensing parameters. The maximum speed of the motor is 1300 rpm and based on the testing carried out, it is observed that the speed is successfully reduced upto 500 rpm when with five speed range in between the maximum and minimum speed. The type of motor used in this project is a single phase induction motor. Placement of the vibration is set to be on top of the housing of the motor which provided the highest sensitivity based on testing carried out and the vibration rate generated by the motor operating at maximum rpm on no load was 0.47g where ‘g’ is the unit represented by the vibration sensor for amount of acceleration acted upon the sensor. In a nut shell, the functionality of the system was successfully achieved based on the objectives and overcoming the drawbacks from past research works.

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