This discussion is linked to the course Cognite Data Fusion for Domain Experts.
A data-driven approach to maintenance is more efficient than relying on a fixed schedule or fixing something once it’s already broken. There are plenty of opportunities around us to take advantage of smart maintenance. Look around in your home, your office, or think of your work tasks. Where could data-driven maintenance make a difference?
Share your thoughts! For example, explain what data you have available or would need in order to do smart maintenance, and how this would be an improvement of current methods.
We agree and 100% support this, and would like Cognite to build out functionality and capability that can help us do smart maintenance at Celanese.
Awesome resource! I just took the course.
One question, in the last videos it is mentioned that there was a shutdown in July hence the mileage of the valve is counted from that point, also it is suggested to do the same from other maintenance events to measure the mileage between events. Where can I see which were maintenance events? from the time series there are some signals that indicate if the compressor is working or not, but I have not seen one related with a maintenance procedure.
@Luis Ramon Ramirez Rodriguez , glad you liked the course!
You are right that events in Open Industrial Data are harder to use as they are anonymised. We are planning to look into removing some of the abstraction and making more information available about events in this project. Stay tuned in the community for more updates on OID and new courses that work with the data.
Great! Thanks Eniko