The report is mainly intended for designers, operators and regulators to provide insights of complete common-cause pre-initiator HFEs in the ICDE database. The insights can give valuable experience to support and improve the human reliability analysis modelling in the probabilistic risk assessment (PRA) models and provide CCF data for quantification purposes. The insights in common-cause dependencies are especially valuable since many of these are not typically modelled in a human reliability analysis.
The report summarises the results of two internal data analysis workshops performed by the ICDE steering group, presents CCF defence aspects for common-cause pre-initiator HFEs, and includes in total 51 complete CCF events. The data analysis included an assessment of the event parameters: event cause, coupling factor, corrective action, CCF root cause and detection method.
The engineering analysis addressed the “cause” or “trigger” of the human failure event, the performance shaping factors, and the latency of the event until failure or detection of degraded component state. The lessons learnt from the analysis of the pre-initiator HFEs and the resulting recommendations are described below.