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Fault tree graph

The bulk of the information in the report is included in a 317-page appendix that contains systems descriptions, station blackout fault trees, diesel generator historical data, and diesel generator common cause failure analysis results for 18 different nuclear power plants. Tables and graphs are well organized and present data correlated to each plant studied. The study also contains conclusions and recommendations for improving reliability. [Pg.115]

Fig. 7.7 The tree graph of the thermo-fluid process showing fault propagation... Fig. 7.7 The tree graph of the thermo-fluid process showing fault propagation...
The preceding is just an example to show how Little JIL can be applied in a manufacturing process. In tbe example, it is only one failure mode and type has been depicted. Tbere could be a large number of failure modes/artifact-related failure modes or can easily be turned into artifact-related failure modes. Also, if a step is done incorrectly, one would expect that failure to be evident in one or more of the out artifacts associated with that step. For detailed and effective analysis, an artifact flow graph (AFG) may be developed from by traversing the process tree with necessary algorithm. Derived FMEA information is obtained from AFG. When the system is large, one may take the help of fault tree analysis (FTA) to determine one failure... [Pg.977]

Fault Graph, Markov Modeling, Dynamic Event Logic Analytical Methodology (DYLAM), and Dynamic Event Tree Analysis Method (DETAM). [Pg.248]


See other pages where Fault tree graph is mentioned: [Pg.239]    [Pg.239]    [Pg.122]    [Pg.300]    [Pg.69]    [Pg.70]    [Pg.70]    [Pg.124]    [Pg.69]    [Pg.70]    [Pg.70]    [Pg.16]    [Pg.236]    [Pg.241]    [Pg.242]    [Pg.473]    [Pg.82]    [Pg.183]    [Pg.252]    [Pg.432]    [Pg.123]    [Pg.240]   
See also in sourсe #XX -- [ Pg.239 ]




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