Predicting Failure: Predicting Failure
- Annika Nordt (European Spallation Source ERIC)
Components and systems have different failure modes, and rates depending on where they are in their lifetime, which in turn is dependent on the operational cycle in which the components and systems are being used.
• What are effective means and tools for predicting failure?
• When should we use the tools?
• What is the raw data which is needed and how do we obtain it?
• How do we analyse and feed-back this information to drive improvement?
In this session, we encourage the presentation of uses cases, scenarios, and the tools, such as Root Cause Failure Analysis (RCFA), to conduct logical, structured, and deductive techniques that can identify the failure root-causes.
The Spallation Neutron Source (SNS) Superconducting Radio Frequency (SRF) Linac has been in production operation since 2006. Since that time much has been understood about causes for SRF downtime with a high-power proton beam. One of the important causes for downtime is related to repeated beam loss events which lead to the need to reduce cavity gradients to maximize reliability. ...
MAX IV is a synchrotron radiation facility based on a 3 GeV linear accelerator, which powers a soft and hard x-ray storage ring, as well as a short pulse facility. At MAX IV, the prediction, prevention and handling of failure is a critical part of ensuring a reliable beam for user access. A robust set of tools has been developed for use in failure-related procedures, which will be presented...
The IFMIF-DONES facility is aimed at providing a database of materials exposed to similar irradiation conditions as in DEMO. For this purpose, a neutron source facility will be built, consisting of a superconducting linear Accelerator Systems (AS) generating a deuteron beam impacting onto a target made of a liquid lithium jet provided by the Lithium Systems (LS).
An important aspect of the...