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Grant: Alliance Grants

Université d'Ottawa

$30,000.00

Open-Access AI Platform for IoT Condition Monitoring: Phase Two

EF 2023-24

Résumé
Industrial bearing and power transmission component distributors are the direct contact of industrial clients in need of components and services related to industrial machine maintenance and retrofit, or in emergencies when machine breakdowns occur. Their experience provides invaluable insight that ensures machine uptime and maximum profit for their industrial clients. However, traditional service models that these distributors rely on are quickly being upended by intelligent machine condition monitoring technology, which is on the cusp of revolutionizing the way maintenance engineers ensure the uptime of their equipment. Unfortunately, this technology is currently only viable for the largest of companies.General Bearing Service (GBS), in partnership with the Advanced Dynamics Design Lab (ADDL) at the University of Ottawa intends to bring the latest advances in intelligent machine condition monitoring to Canadian small and mid-size enterprises (SMEs) that rely on GBS to help them ensure a consistent and predictable production cash flow. To do so, GBS intends to offer AI-based machine condition monitoring systems to clients and provide maintenance contracts that guarantee uptime and improved process efficiency. To achieve this, the ADDL and GBS have worked closely to develop and launch openPHM.org, an open-access web app for collecting data with a prototype multi-sensor IoT device and providing machine health status updates with a machine learning algorithm. For this second phase, the technology will be field-tested in industry and further developed based on the results.This partnership will provide GBS with the required technological resources and expertise to modernize the industry and provide the much-needed value-added services required by its clients to remain competitive. This partnership will also provide the ADDL with in-depth insight into the industry required to advance research in this field of study, test innovative solutions, and train highly qualified personnel.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
588555-2023
Name nom
Dumond, Patrick PAJ
Department département
Mechanical Engineering
Organization id
28
Institution établissement
Université d'Ottawa
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2023
Award amount
30000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
515
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Instrumentation technology
Area of application fr
Technologie de l'instrumentation
Research subject code
2109
Research subject group en
Mechanical engineering
Research subject group fr
Mechanical systems and instrumentation
Research subject en
Génie mécanique
Research subject fr
Instrumentation et systèmes mécaniques
Application title
Open-Access AI Platform for IoT Condition Monitoring: Phase Two
Keyword
Artificial intelligence; Cloud database; Condition monitoring; Data fusion; Fault diagnosis; Fault prognosis; Intelligent monitoring system; IoT devices; Machine learning; Prognostics and health management
Application summary
Industrial bearing and power transmission component distributors are the direct contact of industrial clients in need of components and services related to industrial machine maintenance and retrofit, or in emergencies when machine breakdowns occur. Their experience provides invaluable insight that ensures machine uptime and maximum profit for their industrial clients. However, traditional service models that these distributors rely on are quickly being upended by intelligent machine condition monitoring technology, which is on the cusp of revolutionizing the way maintenance engineers ensure the uptime of their equipment. Unfortunately, this technology is currently only viable for the largest of companies.General Bearing Service (GBS), in partnership with the Advanced Dynamics Design Lab (ADDL) at the University of Ottawa intends to bring the latest advances in intelligent machine condition monitoring to Canadian small and mid-size enterprises (SMEs) that rely on GBS to help them ensure a consistent and predictable production cash flow. To do so, GBS intends to offer AI-based machine condition monitoring systems to clients and provide maintenance contracts that guarantee uptime and improved process efficiency. To achieve this, the ADDL and GBS have worked closely to develop and launch openPHM.org, an open-access web app for collecting data with a prototype multi-sensor IoT device and providing machine health status updates with a machine learning algorithm. For this second phase, the technology will be field-tested in industry and further developed based on the results.This partnership will provide GBS with the required technological resources and expertise to modernize the industry and provide the much-needed value-added services required by its clients to remain competitive. This partnership will also provide the ADDL with in-depth insight into the industry required to advance research in this field of study, test innovative solutions, and train highly qualified personnel.