Lauda and the Institute for Drive Technology (IAA) at Aalen University, Germany, are co-developing a prognostics and health management (PHM) system for AI-based status monitoring of constant temperature equipment at automotive test stations.
The project, funded by US$460,260 (US$460,000) from the InvestBW program from Baden-Württemberg Ministry of Economics, Labor and Tourism, aims to further the capabilities of the Lauda.Live temperature control technology by increasing digitalization – enabling predictive maintenance – which will ultimately lead to a longer lifespan and better system reliability and performance. Machine learning will be used to develop efficient operating strategies for each application, for instance through optimized delivery volume.
“The development of artificial intelligence and the solutions made possible as a result are advancing exponentially,” explained Lauda MD Dr Marc Stricker. “Through this innovative research project and close collaboration with Aalen University, we can resolutely follow our successful path toward the digitalization of temperature control technology in continuous exchange with our partners. Artificial intelligence must be integrated in solutions today and offers enormous potential for optimization.”
Due to be completed in March 2025, an interdisciplinary team from Lauda composed of R&D, service and product management specialists will work to determine relevant causes of failures, develop sensors and scrutinize data as part of their continued research and for modeling at Aalen University.
The project is part of the DigiServ network, a development alliance that seeks to structure and automate processes in the service segment.