## Proceedings of the International School of Physics "Enrico Fermi". |

### From inside the book

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Page 11

[49] R. R. Willie: Computer-Aided

Research Center, University of Berkeley, Cal. (1978). [50] W. E. Vesely, F. P.

Goldberg, N. H. Roberts and D. F. Haasl: Fault Tree Handbook, NUREG-0492 (

1981).

[49] R. R. Willie: Computer-Aided

**Fault Tree Analysis**, ORC 78-14, OperationsResearch Center, University of Berkeley, Cal. (1978). [50] W. E. Vesely, F. P.

Goldberg, N. H. Roberts and D. F. Haasl: Fault Tree Handbook, NUREG-0492 (

1981).

Page 75

In this second level of

elements from a functional point of view. He uses a ... of the

level, the analyst is faced with one of the most difficult aspects of logic-

In this second level of

**fault tree**development, the analyst examines systemelements from a functional point of view. He uses a ... of the

**fault tree**. At the thirdlevel, the analyst is faced with one of the most difficult aspects of logic-

**tree****analysis**.Page 76

Of course, for any J, \m(J)\ == The first task of a

certain minimal family of sets of Z7u (— U) called a prime implicant family. We are

only interested in prime implicant families for fault tree nodes which we wish to ...

Of course, for any J, \m(J)\ == The first task of a

**fault tree analysis**is to obtain acertain minimal family of sets of Z7u (— U) called a prime implicant family. We are

only interested in prime implicant families for fault tree nodes which we wish to ...

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### Contents

System Eeliabujty | 3 |

Statistical Theory of Eeliablitt | 8 |

Definitions and characterizations | 12 |

Copyright | |

39 other sections not shown

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### Common terms and phrases

algorithm approach associated assume assumption Bayesian boundary points chain coherent system complex conjugate prior consider correctness defined denote detected discussed edited equations equivalence class ergodic errors example exponential distribution failure rate Fault Tree Analysis function gamma given human reliability IEEE Trans IFEA implementation increasing independent input domain integration interval likelihood Markov Markov chain matrix mean method modules monotone month2 N. D. Singpurwalla number of failures number of system NUMITEMS observed obtained operational output parameters phase Poisson Poisson process possible predictive prior distribution probability problem procedure Proschan R. E. Barlow random variables reliability growth models reliability theory renewal theory repair requirements sample sect sequence Software Eng software reliability software reliability models specification Stat statistical stochastic stochastic process subsection system failure system reliability techniques theorem tion tt tt values vector zero