Making the most of investments - using existing asset data to power predictive maintenance
Manufacturing; Mining & Metals; Pulp & Paper
This presentation will be delivered by an asset integrity manager from Cameco - the global leader in uranium mining.

Investments in assets are often expected to last decades, whilst retrofitting sensors can have good payback, often a lot of suitable data is already collected that can be manipulated to uncover information about machine health to support predictive maintenance efforts.

This presentation will explore how data already being stored in PI Asset Framework was analysed and explored in order to uncover additional machine condition indicators, without retrofitting of any sensors - to power a predictive maintenance journey to reduce operational costs and risk and boost sustainability.
Alexander Hill - Senseye
TBD TBD - Cameco
Brad Owen - Cameco