EXPLOITATION OF A COMPONENT EVENT DATA BANK FOR COMMON CAUSE FAILURE ANALYSIS
Investigations into using the European Reliability Data System Component Event Data Bank for common cause failure analysis have been carried out. Starting from early exercises where data were analyzed without computer aid, different types of linked multiple failures have been identified. A classification system is proposed based on this experience. It defines a multiple failure event space wherein each category defines casual, modal, temporal and structural links between failures. It is shown that a search algorithm which incorporates the specific interrogative procedures of the data bank can be developed in conjunction with this classification system. It is concluded that the classification scheme and the search algorithm are useful organizational tools in the field of CCf studies. However, it is also suggested that the use of the term common failure should be avoided since it embodies too many different types of linked multiple failures.
Bibliographic Reference: INTERNATIONAL ANS/ENS TOPICAL MEETING "PROBABILISTIC SAFETY METHODS AND APPLICATIONS", SAN FRANCISCO, CA. (USA) FEB. 24-28, 1985 WRITE TO CEC LUXEMBOURG, DG XIII/A2, POB 1907 MENTIONING PAPER E 31782 ORA
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Record Number: 1989123040500 / Last updated on: 1987-01-01
Available languages: en