Speaker
Description
The Large Hadron Collider (LHC) at CERN relies on more than 9000 superconducting magnets working since September 2008 in order to produce physics at high energy. The experience accumulated has shown up the frequency of electrical faults in the superconducting magnets, as well as their protection and instrumentation circuits. An internal collaboration group within CERN has carried out a first statistical analysis to provide a global approach in the first years of operation. The next step is to perform an extended dependability study on the mentioned electrical faults to provide better figures for operation. Complex systems have used modern techniques such as Systems Theoretic Accident Models and Processes (STAMP) to complement classical techniques such as Fault Tree Analysis (FTA) or Failure Mode and Effect Analysis (FMEA), among others, in order to provide a larger and deeper failures overview, both qualitative and quantitative. This poster evaluates classical and modern dependability methods to assure optimised results in the future analysis.
