HANNOVER MESSE 2019,
01 - 05 April
it-RSC uses predictive quality with great success to support engine production at a major automotive manufacturer. The necessary deep learning calculation processes run on vCAX, a high-end virtualisation platform.To optimise quality assurance, it-RSC applied a deep learning process to the production of raw components at the OEM. Faulty raw components are now detected early on and removed from the downstream production process. The project utilises the numerous values and sensors that are already being measured during production. The neuronal network (deep learning network) then calculates whether the interaction of current values will result in OK or NOK raw components. Thanks to the quality prediction, additional value-added processes are no longer wasted on faulty components. Deep learning is ideally suited to all current casting processes. By determining the precise process step where the fault occurs, it delivers high cost savings because no value added is required after this point. Deep learning processes require significant processing power at a level not generally available in companies. To avoid imposing a burden directly on customer IT systems, it-RSC supplies the necessary technology itself. vCAX, as the system is called, is delivered in a flight case and can be up and running in a day.
Predictive quality is a new deep learning process that predicts component quality based on numerous types of available data. Many companies are already monitoring ...
IoT is changing the world
While IoT previously mostly described networking of machines, equipment and systems in B2B, it has already developed further rapidly in ...
Deep Learning has many facets. In digitalization/Industry 4.0, Deep Learning optimizes production processes and the quality of the produced parts. Neural networks ...
The Internet of Things (IOT) and the digitization in the context of Industry 4.0 bother all of us. We from the it-RSC, provide solutions for engineers to make processes ...
it-RSC is a specialist for virtualization in the engineering field and has successfully implemented numerous projects of many different kinds already. Speed and ...