Predictive Maintenance
Empower your operations with predictive maintenance - where Industry 4.0 transforms reactive repairs into proactive performance
Remaining Useful Life
Stay ahead of the curve with predictive maintenance by anticipate issues, extend asset life, and eliminate costly surprises with smart monitoring
Condition Based Monitoring
Transform downtime into uptime - With condition-based monitoring and AI insights, predictive maintenance is your key to operational excellence.
WearSense in Action
WearSense is an Innovative Solution
Remaining Useful Life
Leveraging AI and advanced sensors, it enables precisely estimating the remaining useful life (RUL) of tools(i.e drill bits).
Plug & Play
Our system allows for effortless installation by simply applying the sensors and integrating seamlessly with existing configurations, ensuring quick deployment without significant modifications.
Downtime Reduction
Accurately estimating the remaining useful life (RUL) of drill bits optimizes tool usage in precision machining of high-value individual parts
Local Training and collaborative Learninig
It supports local AI training and facilitates collaborative learning among similar models, improving predictive accuracy through information sharing.
Results Achieved
Accuracy
In identifying the different processing phases with a precision of 93%.
Downtime Reduction
By setting appropriate thresholds, we have enabled the replacement of tools, eliminating breakages and achieving reliability and a reduction in machine downtime of 20%.
Modular System
Our system allows the use of audio, vibration, and power sensors. We have tested our models on 25 data channels
Local Training
Through transfer learning with our pre-trained models, we can have a model trained on new data in 8 hours.
OUR BEST PARTNERS
Facts & Numbers
Organizations still rely on spreadsheets for Maintenance Management. [1]
Only 30% of companies have sensor Data in sufficient Quantity & Quality. [1]
Impact on the Revenue of unplanned downtime. [2]
Machine downtime hours per year.[3]
- Maintenance Statistics and trends to watch in 2025. fabrico.io/blog
- Digital industrial Evolution with predictive Maintenance, Are European business ready to streamline their operations and reach their level of efficiency - Milos Milojevic, Franck Nassah.
- Unplanned Downtime Cost - Forbes Report