Title: Oil analysis as tool for predictive maintenance for cryogenic compressors at CERN
By: Arnaud Delvoye
Company: Steffen Junker CERN
PXL: Patrick Pilat PXL University/College
The subject of this thesis is developing an oil analysis plan to use as a tool for predictive maintenance on compressor systems. This oil analysis plan will be implemented for the compressors that are part of the cryogenic installations at CERN. These installations are used to cool down the helium that flows throughout the LHC and several other experiments at CERN.
The research question of this thesis is: “How can the oil analysis plan of the cryogenics plants at CERN be improved?”
The goal of this thesis is developing an oil analysis plan that will add to and improve the current predictive maintenance plan. This will result in a higher reliability of the compressor systems, which prevents unplanned stand stills that have to be avoided.
The current oil analysis plan for the compressor systems at CERN is only used to check the oil condition to check if the oil needs to be replaced. To use oil analysis as tool for predictive maintenance a completely new plan will have to be developed since the current plan is not thorough enough.
To find a solution the current procedures at CERN and the state of the art practices for the oil analysis have been researched. After which improvements to the current procedures have been searched. The focus is first put upon one of the systems in use at CERN. The oil analysis plan for this system is then applied to the other systems.
The result is a base for the oil analysis plan which can be built on and customised to the requirements of each individual compressor station. This makes it possible to include oil analysis as part of the predictive maintenance at CERN.
If you want to cite this thesis in your own thesis, paper, or report, use this format (APA):
Delvoye, A. (2015). Oil analysis as tool for predictive maintenance for cryogenic compressors at CERN.
Unpublished thesis, Hogeschool PXL, PXL-Tech.