Real-time condition monitoring of electrical machines using IoT
Date
2021-05
item.page.datecreated
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Electrical machines are heavily used in industry today as they form an integral part of the
production. In the occurrence of a breakdown, processing and production are delayed hence
the importance of motor condition monitoring. Unfortunately, manual condition monitoring
techniques are not entirely reliable. IoT emergence proves to be reliable and decreases
downtime in the daily use of the induction motor. In this project, an IoT platform is built
using Bluetooth technology, temperature, current, voltage and accelerometer sensors for
data collection, storing data on the cloud and building a machine learning model to predict
faults based on prevalent faults diagnosis techniques on induction.
Description
Capstone Project submitted to the Department of Engineering, Ashesi University in partial fulfillment of the requirements for the award of Bachelor of Science degree in Computer Engineering, May 2021
item.page.type
Capstone project
item.page.format
Keywords
machine monitoring, fault detection