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Grant: Engage Grants Program

University of Regina

$25,000.00

Sensor Network-based Intelligent System for Transformer Health Monitoring and Data Analysis

EF 2019-20

Résumé
Manufacture ADRIA is specialized in the design and production of electrical power equipment for theindustrial sectors and mining industry. Manufacture ADRIA is currently focusing on improving itsmanufacturing processes through the use of online monitoring, data collection, event detection, and analysis.Manufacture ADRIA is seeking a solution that combines seamless data collection from sensor devices and thenperforms analysis for event detection and failure prediction.This Engage grant project aims to investigate and develop a sensor-based intelligent framework that can collectdata from high voltage equipment and then perform distributed and centralized data analysis. The work on thisproject will include three objectives as follows; develop a Wireless Sensor Network (WSN)-based system tomonitor power equipment and then connect to a cloud server, develop an Apache Spark framework andperform data analysis.The proposed research is innovative since it will develop a novel Internet-of-Things (IoT) architecture based onthe sensor network system that runs real-time Machine Learning (ML) algorithms on an Apache Sparkframework. The system will utilize cloud and fog computing to optimize the condition monitoring and featureextraction process.The objectives defined in this Engage application will be achieved by developing a WSN testbed to collect datafrom a transformer, then connect the WSN data to a cloud gateway and send the collected data to a local server.Apache Spark-based ML libraries will be used to perform data analysis in the sensors and cloud levels.
Programme
Engage Grants Program
Bénéficiaire
Emplacement
Saskatchewan, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
538389-2019
Name nom
AlAnbagi, Irfan
Department département
Engineering and Applied Science, Faculty of
Organization id
17
Institution établissement
University of Regina
Province en
Saskatchewan
Province fr
Saskatchewan
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2019
Competition year année de concours
2019
Award amount
25000
Program id
EGP
Program name en
Engage Grants Program
Program name fr
Programme de subventions d'engagement partenariat
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
1008
Committee name en
Information, Communications and Manufacturing Sectors
Committee name fr
Secteurs de l'information, des communications et de la fabrication
Area of application code
513
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Electrical and electronic machinery and equipment (including computer hardware)
Area of application fr
Machinerie et équipement électriques et électroniques (y compris matériel informatique)
Research subject code
2508
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Communications networks
Research subject fr
Réseaux de télécommunications
Installment
inst:1 - 1
Partie
1
Nb partie
1
Application title
Sensor Network-based Intelligent System for Transformer Health Monitoring and Data Analysis
Keyword
NSERC
Application summary
Manufacture ADRIA is specialized in the design and production of electrical power equipment for theindustrial sectors and mining industry. Manufacture ADRIA is currently focusing on improving itsmanufacturing processes through the use of online monitoring, data collection, event detection, and analysis.Manufacture ADRIA is seeking a solution that combines seamless data collection from sensor devices and thenperforms analysis for event detection and failure prediction.This Engage grant project aims to investigate and develop a sensor-based intelligent framework that can collectdata from high voltage equipment and then perform distributed and centralized data analysis. The work on thisproject will include three objectives as follows; develop a Wireless Sensor Network (WSN)-based system tomonitor power equipment and then connect to a cloud server, develop an Apache Spark framework andperform data analysis.The proposed research is innovative since it will develop a novel Internet-of-Things (IoT) architecture based onthe sensor network system that runs real-time Machine Learning (ML) algorithms on an Apache Sparkframework. The system will utilize cloud and fog computing to optimize the condition monitoring and featureextraction process.The objectives defined in this Engage application will be achieved by developing a WSN testbed to collect datafrom a transformer, then connect the WSN data to a cloud gateway and send the collected data to a local server.Apache Spark-based ML libraries will be used to perform data analysis in the sensors and cloud levels.