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U.S. Department of Energy
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Systems analysis approach to probabilistic modeling of fault trees

Conference ·
OSTI ID:5697527
A method of probabilistic modeling of fault tree logic combined with stochastic process theory (Markov modeling) has been developed. Systems are then quantitatively analyzed probabilistically in terms of their failure mechanisms including common cause/common mode effects and time dependent failure and/or repair rate effects that include synergistic and propagational mechanisms. The modeling procedure results in a state vector set of first order, linear, inhomogeneous, differential equations describing the time dependent probabilities of failure described by the fault tree. The solutions of this Failure Mode State Variable (FMSV) model are cumulative probability distribution functions of the system. A method of appropriate synthesis of subsystems to form larger systems is developed and applied to practical nuclear power safety systems.
Research Organization:
Los Alamos National Lab., NM (USA); New Mexico Univ., Albuquerque (USA). Dept. of Mathematics and Statistics
DOE Contract Number:
W-7405-ENG-36
OSTI ID:
5697527
Report Number(s):
LA-UR-85-494; CONF-850809-15; ON: DE85007705
Country of Publication:
United States
Language:
English