Uniiq investment fund and technical service provider Engie Services have made a joint investment in Semiotic Labs. With the latter’s innovative technology, it becomes possible to predict when electric motors are at risk of breaking down.
Semiotic Labs was founded in May 2015 by Simon Jagers (COO) and Gerben Gooijers (CEO). ‘Our aim is to reduce unplanned downtime to zero. To achieve this, we use sensors as well as machine and deep learning algorithms. These algorithms will learn from data that will be collected when our solution undergoes a large-scale roll-out,’ explains Gooijers. He continues: ‘The investment from Engie and Uniiq will allow us to fit several hundreds of sensors for our clients, thus putting the technology into practice.’
Condition Based Maintenance
Stopping production processes to carry out preventative maintenance on machines or to repair a breakdown is very costly. Many companies face a major challenge in preventing and limiting such downtime. With Semiotic Labs' technology, it is possible to predict when machines or machine components are at risk of breaking down.
Thanks to the use of condition based maintenance (CBM), maintenance is only performed when there are signs of decreasing performance or an anticipated failure. This is expected to cut costs and has a positive effect on productivity as less preventative maintenance is required. With self-learning algorithms, variations in power consumption are detected, reported and displayed on a dashboard. This provides insight into the condition of the machines.
So far, Semiotic Labs' focus has been on ships, cranes & trains plus rotating equipment in production lines.
