Step by step to the digital twin
Unused potential in the production process, maintenance and quality control can be made visible with the help of a digital twin. The digital twin is scalable and easy to implement.
read more...read more...Prevent mistakes in advance ...
... is better than repairing damage. Predictive maintenance is therefore one of the drivers of digital transformation in the manufacturing industry. Networking is important, but more important are computing power and intelligent, adaptive algorithms at the edge, on the machine - and technology is developing rapidly in this area.
read more...Improve forecasts
In an interview with Andreas Mühlbauer, Ralf Reines from the VDW's Research and Technology Department explains the role of predictive maintenance and artificial intelligence in machine tool manufacturing.
read more...Reliability thanks to AI
Hans Klingstedt from Smart Systems talks about a particularly challenging project in the field of predictive maintenance, an original solution and current trends in predictive maintenance in an IP interview.
read more...TSN realizes Industry 4.0
TSN can be used to optimize production methods, increase productivity and also collect and process data for predictive maintenance in real time.
read more...Full order books at Schubert
The packaging specialist recorded a 2.5% increase in turnover in 2020. Cobot presented in in-house development.
read more...Digital transformation in the ex sector
Remote support in the industry
Challenges such as the current pandemic, personnel costs and the shortage of skilled workers are putting companies under increasing pressure.
read more...IIoT sensors for industrial systems
Siemens presented Sitrans SCM IQ, a new Industrial Internet of Things (IIoT) solution for smart condition monitoring, at Hannover Messe 2021.
read more...Platform for controlling and networking sophisticated applications
Baumüller will be presenting its new b maXX PLC control platform at the digital Hannover Messe from April 12 to 16, 2021.
read more...Free data access
In order to implement predictive maintenance in production in a meaningful way, diagnostic data must be recorded and evaluated accordingly. AS-Interface offers all these possibilities and facilitates predictive maintenance in practice.
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