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Smart monitoring: IOT enhanced fault detection techniques for single-phase induction motor

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dc.contributor.advisorHossain , Md Golam Sorwar
dc.contributor.advisorImran, Mohammed Thushar
dc.contributor.authorISLAM, MD. TANVIR AL
dc.contributor.authorZAMAN, AZMERI MAISHA
dc.contributor.authorNESSA, MUNIRUN
dc.contributor.authorMARGARET, NAFUNA
dc.contributor.departmentDepartment of Electrical and Electronic Engineering
dc.date.accessioned2025-05-06T06:57:50Z
dc.date.available2025-05-06T06:57:50Z
dc.date.copyright2024
dc.date.issued2024-01
dc.descriptionCataloged from PDF version of final year design project.
dc.descriptionIncludes bibliographical references (pages 76-77).
dc.descriptionThis final year design project is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering and Electronic and Communication Engineering, 2024.en_US
dc.description.abstract"Faults in single-phase induction motors, commonly used in domestic and industrial applications, can lead to reduced efficiency, downtime, and increased maintenance costs. This project explores the development of an IoT-based system to detect and diagnose motor faults in real time. The system uses sensors to monitor critical parameters such as speed, voltage, current, vibration, and temperature the system provides intelligent analysis for fault detection. The proposed solution is scalable, cost-effective, enabling timely interventions and reducing operational disruptions. Additionally, it aligns with sustainable practices by improving energy efficiency and minimizing waste. This approach enhances motor reliability, extends equipment lifespan, and contributes to advancements in industrial automation and maintenance strategies. "en_US
dc.description.degreeB.Sc. in Electrical and Electronic Engineering
dc.description.statementofresponsibilityMD. TANVIR AL ISLAM
dc.description.statementofresponsibilityAZMERI MAISHA ZAMAN
dc.description.statementofresponsibilityMUNIRUN NESSA
dc.description.statementofresponsibilityNAFUNA MARGARET
dc.format.extent121 pages
dc.identifier.otherID 20221028
dc.identifier.otherID 20221004
dc.identifier.otherID 20321022
dc.identifier.otherID 22321073
dc.identifier.urihttp://hdl.handle.net/10361/25861
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University project reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectIoTen_US
dc.subjectFault detectionen_US
dc.subjectInduction motorsen_US
dc.subjectReal time monitoringen_US
dc.subjectEnergy efficiencyen_US
dc.subject.lcshInternet of things.
dc.titleSmart monitoring: IOT enhanced fault detection techniques for single-phase induction motoren_US
dc.typeProject Reporten_US

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Thesis & Design Report (Bachelor of Science in Electrical and Electronic Engineering)