Articles and background information on the topic
Networking and machine learning
With new technologies, almost all technical systems and plants can be integrated into the web. However, IoT-supported production systems require a suitable infrastructure and support from machine learning so that they can act intelligently and independently.
read more...For the 30th edition, the meeting place for the automation industry SPS IPC Drives will become SPS - Smart Production Solutions. Despite an economic slowdown, Christian Wolf, Chairman of the Exhibitor Advisory Board, confirms that automation technology has a "brilliant future".
read more...EMO Hannover is consistently moving towards a networked future. In addition to trend topics such as intelligent factory networking, digitalization and cybersecurity, perennial topics such as resource efficiency and increasing productivity also play an important role at the world's leading trade fair for metalworking.
read more...Smart products made from tribo-polymers
To enable predictive maintenance, Igus has developed various sensors and monitoring modules for energy chains, cables, plain, linear and rotary table bearings with its Smart Plastics products. By networking with the icom.plus module, the data is integrated into the customer's IT system.
read more...Fraunhofer researchers have developed the Ergojack soft orthosis to combat back pain caused by physically strenuous movements.
read more...Markus Günther, product manager and machine learning expert at software company Inform, explains how artificial intelligence keeps manufacturing companies competitive in times of batch size 1.
read more...AI managers in the smart factory are regarded as the cartographers of knowledge. But what exactly does an AI manager do? Why is he or she so important for my company? And how do I recruit an AI manager? Jessica Volkwein provides answers.
read more...Sick offers software applications based on deep learning algorithms. Users of system solutions in logistics automation can benefit from this.
read more...Developments such as adaptable production and the booming online trade place the highest demands on intralogistics. To meet these requirements, digital networking, artificial intelligence and machine learning offer innovations for driverless transport systems and mobile robots. On September 18, 2019, the 8th Fraunhofer IPA Technology Forum will present new approaches and applications.
read more...When industrial equipment fails, the real problem is often not the cost of spare parts, but the forced downtime. The article shows the design of a predictive maintenance algorithm for a triplex pump using data obtained from the simulation of a digital twin of the pump under different failure conditions.
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