## Proceedings of the International School of Physics "Enrico Fermi", Volume 94 |

### From inside the book

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Page 17

The next reliability operation we consider is the formation of coherent systems

using IFR components . We are tempted to reason that a coherent system «

wears out » with increasing age , since more and more components

goes by ...

The next reliability operation we consider is the formation of coherent systems

using IFR components . We are tempted to reason that a coherent system «

wears out » with increasing age , since more and more components

**fail**as timegoes by ...

Page 79

We say that a component « causes » system

with that component ' s

components continue to operate ( and perhaps

down .

We say that a component « causes » system

**failure**if system**failure**coincideswith that component ' s

**failure**. ... since we also suppose that functioningcomponents continue to operate ( and perhaps

**fail**) even when the system isdown .

Page 121

Reliability is entirely a matter of inference , in which the projected life or

rate of a component or system must be inferred from empirical data , usually with

only limited information about the various mechanisms of

be ...

Reliability is entirely a matter of inference , in which the projected life or

**failure**rate of a component or system must be inferred from empirical data , usually with

only limited information about the various mechanisms of

**failure**. This can onlybe ...

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### Contents

STATISTICAL THEORY OF RELIABLITY | 8 |

Definitions and characterizations | 12 |

J KEILSON Stochastic models in reliability theory | 23 |

Copyright | |

37 other sections not shown

### Common terms and phrases

analysis application approach associated assume assumption BARLOW Bayesian calculation called complex components consider constant continuous correctness Course defined density depends derived described detected determine discussed distribution edited epochs equations equivalence ergodic errors estimate example exists expected exponential fact fail failure rate fault function given Hence important increasing independent input integration interest interval known likelihood limit Markov matrix mean measure method modules normal Note observed obtain occur operational parameters performance phase positive possible posterior predictive prior probability problem procedure prove random variables renewal repair requirements rule sample selected sequence simple software reliability space specification statistical stochastic structure Suppose task theorem theory tion transition tree University values York