There are 10 results.
Intelligent Maintenance saves Costs. Efficient planning and running of industrial maintenance saves costs and conserves resources. The required information normally already exists. It just needs to be used.
The focus of IoT4CPS will be on developing, producing and operating, highly trustable components and applications for Connected and Automated Driving.
Machines learn from Production Data. Quality control is a crucial factor in multi-stage production processes. Adaptive data analysis recognizes problems and provides a competitive advantage.
This new generation of robots assists with assembly and inspection, carrying out new tasks with ease.
PLAN-E - Integrating electric energy demand of machine tool processes as resource for production planning software
Energy as an Important Production Factor. Consideration of energy demand and energy costs in the planning phase of production enables optimized resource and cost management.
Knowledge and data-based approaches improve fault prognosis models to enable the development of anticipative maintenance strategies, thereby optimizing operational availability and resource efficiency of manufacturing processes.
Localization of UHF RFID-Tags. With billions of deployed units, Radio Frequency Identification (RFID) tags dominate the item identification market. A novel method now allows determining the position of these low priced tags as well.
Efficient Safety Planning. Planning safety-critical infrastructure error-free is a complex challenge. A new tool makes this possible - tested in the railway domain.
Self-learning software aims to shorten the manufacturing time on mechanical engineering and creates cost advantages for customers.