Cause-consequence analysis ( CCA ) is a blend of fault tree and event tree analysis. This technique combines cause analysis ( described by fault trees ) and consequence analysis (described by event trees), and hence deductive and inductive analysis is used. The purpose of CCA is to identify chains of events that can result in undesirable consequences. With the probabilities of the various events in the CCA diagram, the probabilities of the various consequences can be calculated, thus establishing the risk level of the system.
This technique was invented by RISO Laboratories in Denmark to be used in risk analysis of nuclear power stations. However, it can also be adapted by the other industries in the estimation of the safety of a protective or other systems. Details on how to carry out cause consequence analysis as well as the benefits and restrictions of it are documented in literature.
Abdoulaye Wane 