This paper focuses on the development of a diagnostic tool for predictive maintenance in industrial lyophilization systems. At the core of the system is an anomaly detection algorithm designed to identify abnormal patterns in operational data. Through its development, key diagnostic strategies have been identified to improve system reliability and early failure detection, ultimately aiming to...
Cleanroom technology is a particularly promising starting point when it comes to energy optimization. ZETA has developed an innovative method for planning cleanrooms in a process-based and energy-optimized way, and one thing is clear: simulations play a central role in this pioneering approach.