Tracesens proudly announced the latest achievement of its R&D department: the AI-Powered Predictive Maintenance (PdM) Module. This module, specially developed for heavy industry conditions, completed its first pilot implementation in a cement factory.
The system collected vibration, temperature, and acoustic data from critical equipment such as mills and kilns via Tracesens IoT sensors. This collected data was analyzed using machine learning algorithms to detect abnormal operating patterns and potential failure signals. The system notified the maintenance team of a potential failure weeks in advance.
At the end of the 6-month pilot project, a record 60% reduction in unplanned downtime and up to 25% savings in maintenance costs were achieved at the facility. This success demonstrates Tracesens's expertise in putting Industry 4.0 from theory into practice.