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Assessing Crew Response Probability for a Sequence of Actions with an Overall Time Constraint
Author(s) -
Vestrucci Paolo
Publication year - 1989
Publication title -
risk analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.972
H-Index - 130
eISSN - 1539-6924
pISSN - 0272-4332
DOI - 10.1111/j.1539-6924.1989.tb01217.x
Subject(s) - crew , sequence (biology) , constraint (computer aided design) , reliability (semiconductor) , set (abstract data type) , computer science , operator (biology) , convolution (computer science) , human reliability , reliability engineering , engineering , human error , machine learning , repressor , chemistry , genetics , biology , power (physics) , biochemistry , aeronautics , quantum mechanics , artificial neural network , transcription factor , programming language , mechanical engineering , physics , gene
The following situation has been considered: during an accident sequence, a crew has to do a proper set of actions within a finite time window in order to achieve a specific goal. The operator actions are considered independent, they are lined up in series, and a single failure leads to mission failure. This paper proposes a general methodology for assessing the crew response (or success) probability, through a convolution integral formulation. This method is general and can be applied to any response probability model; an application to the Human Cognitive Reliability model is given.