Implementation of preventive diagnostics measures for the CERN cryogenic system

The Cryogenic system is one of the most critical component of CERN accelerators and associated experiments. Any improvement in the maintenance plan leads to smoother operation procedures and improves the reliability of the facility as a whole. To reduce the recovery time after failure, a tool to quicken the identification of potential fault signatures has been developed. It consists of dynamic models realized with EcosimPro™ and its associated cryogenic library, CRYOLIB™, which are compared with process data. This comparison spots potential failures by showing deviations on residues identified on critical variables. The comparisons, that can be done both online and offline, will allow either the operation team to take early mitigating actions ahead of the failure occurrence or to identify maintenance consolidations to be implemented during the technical shutdowns. This contribution will illustrate the method with several case studies, focusing on turbines, along with some examples illustrating the actual limits of the tool and next steps for further development and implementation.