How Aarbakke and Cognite are extending the lifetime of CNC machines

Predict failures before they happen and improve operations

Aarbakke has dozens of computer numerical control (CNC) machines at its factory in Bryne, Norway. The machines complete complex operations on sometimes rare materials to achieve highly precise product requirements that Aarbakke's customers in the oil and gas industry demand.

Historically, the CNC machines have sometimes been unknowingly operated in a suboptimal way, and there have been no alerts or warnings prior to them breaking down. Issues include high temperatures in coolants or oils, which leads to wear and tear; wrong pH and salinity in the coolant, which can cause corrosion or bacterial or fungal growth; incorrect lube oil consumption; and missed maintenance on the machines.

Aarbakke lacked a master log of these machine alarms, as well as a system to filter out less critical ones. Service managers previously depended on operators to send them a note every time a critical issue occurred. Otherwise the service managers needed to physically go to each individual machine and manually pull a local log to view the alarms.

An alarm dashboard that helps engineers pinpoint issues

Aarbakke and Cognite first liberated data about machine alarms from its source system, ingesting it into Cognite Data Fusion®.

With all data streaming from one place, the developers then created a dashboard that shows an overview of all alarms but also groups alarms by machine and issue. This helps service engineers pinpoint specific issues and machines and take targeted maintenance actions to address them.

Aarbakke and Cognite plan to add more functionality to the dashboard in the future, including a feature that lets service managers assign levels of criticality to alarms, ensuring that the alarms they deem most important will always be featured at the top of the list.