AccuPredict enables customers to reduce energy consumption & improve productivity of their machines. Wireless sensors enable monitoring equipment vibration from a remote location to accurately predict upcoming failure in time. Customers avoid shutdowns while trimming number & skill levels of staff required. Energy consumption is slashed as vibration is reduced.
- Project: Accupredict & Celsa Group. Predictive maintenance of the product cutting shears to improve the reliability of the machine.
Articles related with [page_title]
BIND’s learning sessions kick off in Vitoria
BIND’s learning sessions kick off in Vitoria The Technology Park of Alava, in Vitoria, hosted the first learning session of Bind 4.0. Four Industry 4.0 specialists from 3 startups and a startup friendly consultancy introduced the selected participants of Bind 4.0 to the challenges they have gone through while working [...]
18 projects at BIND 4.0 1st Edition
18 projects at BIND 4.0 1st Edition The selection of Bind 4.0’s participants is done and we can now disclose the Industry 4.0 projects that startups will develop for their customers, ten large industrial companies. They are all related to big data, additive manufacturing, predictive systems, IoT […]









