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Research project

The perfect temperature with AI

The company Lauda Dr. R. Wobser is working together with the Institute for Drive Technology (IAA) at Aalen University on the development of a PHM (Prognostics and Health Management) system for AI-based condition monitoring of temperature control units on automotive test benches.

The research group for AI-controlled condition monitoring at the kick-off at Lauda's headquarters in Lauda-Königshofen. © Lauda

The project is being supported by the Baden-Württemberg Ministry of Economics, Labor and Tourism with 424,000 euros as part of the InvestBW funding program. With this project, Lauda, the specialist for precise temperatures, will further advance the digitalization of temperature control technology around the digital products of Lauda.Live and provide customers with a solution to increase the service life, reliability and performance of Lauda temperature control units.

AI-supported predictive maintenance is more than prevention

Production losses and delays due to downtime can be limited or even prevented with the help of AI-supported, preventive and predictive maintenance. In addition, machine learning can be used to develop efficient operating strategies, such as optimized flow conveyance, for each application. "The development of artificial intelligence and the resulting and possible solutions is progressing exponentially," explains Lauda Managing Director Dr. Marc Stricker. Thanks to the research project and the close cooperation with Aalen University, the successful path - the digitalization of temperature control technology - can be pursued consistently and in a continuous exchange. "Artificial intelligence must be integrated into solutions today and offers enormous potential for optimization," says Stricker.

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The Lauda project team is made up of cross-departmental members from the areas of research and development, service and product management. The project, which emerged from the "DigiServ" network, is expected to be completed in March 2025; it is a development network with the aim of structuring and automating processes in the service area.

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