Real-time condition monitoring of electrical machines using IoT

dc.contributor.author	Akpo, Eugenia Mawuenya
dc.date.accessioned	2023-05-09T13:21:18Z
dc.date.available	2023-05-09T13:21:18Z
dc.date.issued	2021-05
dc.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
dc.description.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.
dc.description.sponsorship	Ashesi University
dc.identifier.uri	https://hdl.handle.net/20.500.11988/859
dc.language.iso	en
dc.subject	machine monitoring	en
dc.subject	fault detection	en
dc.title	Real-time condition monitoring of electrical machines using IoT
dc.type	Capstone project	en

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