Projects and research
Our commitment to applying knowledge
At MaintLAB, we work daily to transfer the latest knowledge from the field of technical maintenance to concrete industrial challenges. Through cooperation with partners from business and the scientific community, we develop solutions that improve maintenance processes, reduce costs and increase equipment reliability.
Scientific research projects
Our research efforts are focused on the application of artificial intelligence, machine data processing and IoT technologies in predictive maintenance
POIROT-IOT: Converting maintenance data to knowledge
Predictive maintenance of industrial rotating equipment based on machine learning and IoT technology in interaction with information systems
- Main partners: UniZG FSB, Ekonerg d.o.o.
- Project value 1.2 million E
- Over 20 participants
- Results: 1 patent application, 8 scientific papers, 10 presentations at conferences
Data access and integration with existing systems
Upgrading an existing SCADA system
Digitalization of processes through the EAM system
Development of communication and data collection modules
Data integration via a centralized storage system
Improved maintenance decision-making with artificial intelligence
Implementing a predictive maintenance (PdM) framework using artificial intelligence
Integration with EAM system
Visualization and decision support module
Professional projects
In collaboration with leading industry partners, we have developed and implemented a range of advanced systems and solutions.
Digitalization of the production recording system (MES)
Digitalization of work record systems on production lines
- Introduction of terminals in production
- Internal software development
- Development of a centralized reporting system
- Results: real-time work record
System architecture
