Grant: Idea to Innovation
Université de Sherbrooke
$60,000.00
AI-MEMS Sensors for Preemptive Maintenance (Phase I)
EF 2022-23
Résumé
We have developed a new class of MEMS devices that add artificial intelligence (AI) capabilities to sensors. This unique technology has been validated thoroughly in the laboratory, and is now entering a phase of prototype demonstrations in real world applications. These prototypes demand improved robustness, packaging, integration with the MEMS drive electronics and training software. The objective of the proposedI2I Phase I project is to deliver these improvements by creating an AI-MEMS sensor platform to detect faulty machinery automatically to trigger preemptive maintenance actions in an industrial setting. The proposed AI-MEMS sensors will be small, fully autonomous, and robustly packaged for an industrial environment. They will be trained to separate abnormal conditions from normal operation, and to report wirelessly the detected abnormalities.
Programme
Idea to Innovation
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
555555-2020
Name nom
Sylvestre, Julien J
Department département
Génie mécanique
Organization id
68
Institution établissement
Université de Sherbrooke
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2020
Award amount
60000
Program id
I2IPJ
Program name en
Idea to Innovation
Program name fr
De l'idée à l'innovation
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
Génie mécanique
Research subject en
Mechanical systems and instrumentation
Research subject fr
Instrumentation et systèmes mécaniques
Installment
inst:2
Partie
1
Nb partie
2
Application title
AI-MEMS Sensors for Preemptive Maintenance (Phase I)
Application summary
We have developed a new class of MEMS devices that add artificial intelligence (AI) capabilities to sensors. This unique technology has been validated thoroughly in the laboratory, and is now entering a phase of prototype demonstrations in real world applications. These prototypes demand improved robustness, packaging, integration with the MEMS drive electronics and training software. The objective of the proposedI2I Phase I project is to deliver these improvements by creating an AI-MEMS sensor platform to detect faulty machinery automatically to trigger preemptive maintenance actions in an industrial setting. The proposed AI-MEMS sensors will be small, fully autonomous, and robustly packaged for an industrial environment. They will be trained to separate abnormal conditions from normal operation, and to report wirelessly the detected abnormalities.
