Predictive maintenance

In this research PoC algorithm and software were developed for predictive maintenance of an injection molding production cell. Data is collected (PoC4.7) and using advanced algorithms. As a result we got insights on on-site deployment possibilities of data analysis tool in the factory premise and integration with ABB Ability and knowledge on data analysis approach to detect machine anomaly as indication on the machine condition to better plan maintenance action. Several scientific articles were published.



Partners: Aalto, ABB
Keywords: predictive maintenance
Contact: Udayanto Atmojo /Aalto University
Digital Production