Deep Learning for Emissions Reduction

Research Study


Machinery Analytics is working with the University of British Columbia to implement a machine learning approach to predicting structural health, emissions, and performance of energy production equipment. In early testing we were able to replace a $100 000 sensor with a $50 one.




Machine learning replaces a $100,000 sensor with a $50 one.

Interested to participate or learn more?

At Machinery Analytics, we believe that skilled professionals should always have the best tools for the job. That’s why we are developing a cloud based, deep learning platform which can easily distinguish changes in actual performance from changes in the environment or operating conditions. Our customers are innovators who want to develop quality products faster.