Hardware Implementation of IoT-based Health Monitoring of Three-phase Induction Motor
By: Mane, Pranita V
.
Contributor(s): Badave, Sunita M.
Publisher: New Delhi STM Journals 2019Edition: Vol.9(3), Dec.Description: 43-49p.Subject(s): Electrical EngineeringOnline resources: Click here
In:
Journal of power electronics and power systemsSummary: In this project, a wireless monitoring system for three-phase induction motor is realized using
IoT (internet of things), where wired communication is either more expensive or impossible
due to physical conditions and human hazards for safe and economic data communication in
industrial fields. The parameters such as phase current, speed, vibrations and temperature are
monitored by Raspberry Pi and then send these values on cloud. The aim of this project is to
monitor and acquire the remote electrical parameters like three-phase currents, temperature,
vibration and speed, and send these real values over wireless network. The system is designed
using ACS712 current sensor, DS18B20 temperature sensor, SW-18010P vibration sensor and
Infrared speed sensor. These sensors are interfaced with Raspberry Pi 3 model B+ and send
over the wireless network for monitoring
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School of Engineering & Technology Archieval Section | Not for loan | 2021087 |
In this project, a wireless monitoring system for three-phase induction motor is realized using
IoT (internet of things), where wired communication is either more expensive or impossible
due to physical conditions and human hazards for safe and economic data communication in
industrial fields. The parameters such as phase current, speed, vibrations and temperature are
monitored by Raspberry Pi and then send these values on cloud. The aim of this project is to
monitor and acquire the remote electrical parameters like three-phase currents, temperature,
vibration and speed, and send these real values over wireless network. The system is designed
using ACS712 current sensor, DS18B20 temperature sensor, SW-18010P vibration sensor and
Infrared speed sensor. These sensors are interfaced with Raspberry Pi 3 model B+ and send
over the wireless network for monitoring
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