Grant: Discovery Grants Program - Individual
Université d'Ottawa
$38,000.00
Methods and Techniques for System Monitoring, Fault Detection and Failure Prediction
FY 2024-25
Summary
The long-term objectives of this research program are to develop novel methods and techniques used for system monitoring, fault detection and failure prediction to enable efficient maintenance and decision-making through onboard monitoring. The short-term research objectives will focus on timely detection of damage to high temperature thermal barrier coated components while defects are still at their incipient stage. Although vibrations measurement for machine health monitoring is well-accepted, application to lifetime monitoring for thermal barrier coatings is novel, unproven and forms the basis of the short-term research goals of this program. If successful, the application of vibrations measurement to monitoring thermal barrier coating coating health would likely see ready adoption by industry.
Building on a track record of recent technical accomplishments, we expect significant knowledge advancement and technology innovations in modelling, monitoring, signal processing methods, fault detection and failure prediction. Canadian industry will benefit from improved models and methodologies for sensing and feature extraction for system monitoring and detection of faults. This in turn enables coherent and responsive decision-making for monitoring techniques for in-process failure avoidance. The results of this research program will result in reduced downtime and increased efficiency and safety, thus boosting the competitiveness of Canadian companies and improving the social and economic wellbeing of Canadians.
HQP will be trained in advanced thermomechanical modelling approaches, compressed spectral model generation, signal acquisition, processing and information extraction for intelligent, data-informed decision making. HQP will gain key technical skills, as well as professional skills such as communication, data-based decision making, and collaboration. These skills will equip trainees to contribute to the competitiveness of the Canadian economy.
Program
Discovery Grants Program - Individual
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
RGPIN-2023-03392
Name nom
Baddour, Natalie
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
2024
Competition year année de concours
2023
Award amount
38000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1512
Committee name en
Mechanical Engineering
Committee name fr
Génie mécanique
Area of application code
1206
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Engineering
Area of application fr
Génie
Research subject code
2104
Research subject group en
Mechanical engineering
Research subject group fr
Génie mécanique
Research subject en
Vibrations
Research subject fr
Vibrations
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Methods and Techniques for System Monitoring, Fault Detection and Failure Prediction
Keywords
modelling and simulation; real time information; sensor aided decision making; system monitoring; failure prediction; signal processing; data acquisition; non-destructive testing; vibrations; fault detection
Application summary
The long-term objectives of this research program are to develop novel methods and techniques used for system monitoring, fault detection and failure prediction to enable efficient maintenance and decision-making through onboard monitoring. The short-term research objectives will focus on timely detection of damage to high temperature thermal barrier coated components while defects are still at their incipient stage. Although vibrations measurement for machine health monitoring is well-accepted, application to lifetime monitoring for thermal barrier coatings is novel, unproven and forms the basis of the short-term research goals of this program. If successful, the application of vibrations measurement to monitoring thermal barrier coating coating health would likely see ready adoption by industry.
Building on a track record of recent technical accomplishments, we expect significant knowledge advancement and technology innovations in modelling, monitoring, signal processing methods, fault detection and failure prediction. Canadian industry will benefit from improved models and methodologies for sensing and feature extraction for system monitoring and detection of faults. This in turn enables coherent and responsive decision-making for monitoring techniques for in-process failure avoidance. The results of this research program will result in reduced downtime and increased efficiency and safety, thus boosting the competitiveness of Canadian companies and improving the social and economic wellbeing of Canadians.
HQP will be trained in advanced thermomechanical modelling approaches, compressed spectral model generation, signal acquisition, processing and information extraction for intelligent, data-informed decision making. HQP will gain key technical skills, as well as professional skills such as communication, data-based decision making, and collaboration. These skills will equip trainees to contribute to the competitiveness of the Canadian economy.