Event tree is an inductive analytical diagram in which an event is analyzed using Boolean logic to examine a chronological series of subsequent events or consequences. For example, event tree analysis is a major component of nuclear reactor safety engineering.
An event tree displays sequence progression, sequence end states and sequence-specific dependencies across time.
Event tree analysis is a logical evaluative process which works by tracing forward in time or forwards through a causal chain to model risk. It does not require the premise of a known hazard. An event tree is an inductive investigatory process.
In contrast, the Fault tree analysis (FTA) evaluates risk by tracing backwards in time or backwards through a cause chain. The analysis takes as a premise a given hazard. FTA is a deductive investigatory process.
Some industries use both fault trees and event trees. Software has been created for fault tree analysis and event tree analysis and is licensed for use at the world's nuclear power plants for Probabilistic Safety Assessment.
- Event structure
- Root cause analysis
- Ishikawa diagram
- Why-Because analysis
- Failure mode and effects analysis (FMEA)
- Wang, John et al. (2000). What Every Engineer Should Know About Risk Engineering and Management, p. 69., p. 69, at Google Books
- IAEA, "Accident sequence modelling," p. 3.
- National Research Council. (2002). Environmental Effects of Transgenic Plants: the Scope and Adequacy of Regulation, p. 5., p. 5, at Google Books
- National Research Council, p. 4., p. 4, at Google Books
- Wang, p. 58., p. 58, at Google Books
- Compare Timeline of the Fukushima I nuclear accidents
- Compare Northeast Blackout of 2003#Causes.
- National Research Council (US), Committee on Environmental Impacts Associated with Commercialization of Transgenic Plants, Board on Agriculture and Natural Resources, Division on Earth and Life Studies. (2002). Environmental Effects of Transgenic Plants: the Scope and Adequacy of Regulation. Washington, D.C.: National Academy Press. ISBN 9780309082631; OCLC 231950695
- Wang, John X. and Marvin L. Roush. (2000). What Every Engineer Should Know About Risk Engineering and Management. London: CRC Press. ISBN 9781420026962; OCLC 5030452
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