Machine learning has transformed tool condition monitoring by enabling non-invasive, data-driven assessment of cutting tool health. Modern systems deploy a range of sensors—vibration, cutting force, ...

Electrical services has evolved from reactive maintenance to advanced condition monitoring, utilizing real-time data and ...

Seasoned manufacturing professionals know the assets that make their products – the assembly robots, CNC machines, and conveyor belts – are just as important as the final products themselves. These ...

Real-time online tracking of tool wear is an indispensable element in automated machining, and tool wear directly impacts the processing quality of workpieces and overall productivity. For the milling ...

Changing assumptions and ever-changing data mean the work doesn’t end after deploying machine learning models to production. These best practices keep complex models reliable. Agile development teams ...

When fully utilized, condition monitoring can transform how power plants operate and maintain their assets. It can lead to increased efficiency, reduced maintenance costs, improved safety, and better ...

Are you looking for ways to minimize downtime in the facilities you manage or design? Would you like enhanced awareness of what is happening in your system? Condition-based monitoring (CBM) may be the ...

On Friday the 22nd of May 2026, M.Sc. Juhani Kivimäki defends his PhD thesis on Confidence-based Performance Estimation in Machine Learning Model Monitoring. The thesis is related to research done in ...