Monitoring Health of Underground Mining Equipment

The research will entail modeling of diesel engine emissions to correlate with varying states of diesel engine operations so as to determine normal operating parameters. Using machine learning techniques, develop methods to analyze, alert and report on abnormal operating conditions when the vehicle is monitored in real time. The research will provide an important first step towards the development of a predictive maintenance system for underground mining equipment.

Faculty Supervisor:

Dr. Andrew Wong

Student:

Sepideh Seifzadeh

Partner:

Pattern Discovery Technologies

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

University of Waterloo

Program:

Accelerate

Related projects

Discover more projects across a range of sectors and discipline — from AI to cleantech to social innovation.

View all
Current openings

Find the perfect opportunity to put your academic skills and knowledge into practice!

Find Projects

Mitacs Partners

The strong support from governments across Canada, international partners, universities, colleges, companies, and community organizations has enabled Mitacs to focus on the core idea that talent and partnerships power innovation — and innovation creates a better future.

Government
Academic
Industry
Innovation

International

Load More

International

Load More

Join a thriving innovation ecosystem.

Subscribe to our newsletter now!

Subscribe
Canada