## Reliability Engineering: Theory and PracticeThis 5th edition differs from the 4th one for some refinements and extensions mainly on investigation and test of complex repairable systems. For phased-mission systems a new approach is given for both reliability and availability (Section 6. 8. 6. 2). Effects of common cause failures (CCF) are carefully investigated for a 1-out-of-2 redundancy (6. 8. 7). Petri nets and dynamic FTA are introduced as alternative investigation methods for repairable systems (6. 9). Approximate expressions are further developed. An unified approach for availability estimation und demonstration is given for exponentially and Erlangian distributed failure-free and repair times (7. 2. 2, A8. 2. 2. 4, A8. 3. 1. 4). Con$dence limits at system level are given for the case of constant failure rates (7. 2. 3. 1). Investigation of nonhomogeneous Poisson processes is refined and more general point processes (superimposed, cumulative) are discussed (A7. 8), with application to data analysis (7. 6. 2) & cost optimization (4. 7). Trend tests to detect early failures or wearozdi are introduced (7. 6. 3). A simple demonstration for mean & variance in a cumulative process is given (A7. 8. 4). Expansion of a redundancy 2-out-of-3 to a redundancy 1-out-of-3 is discussed (2. 2. 6. 5). Some present production-related reliability problems in VLSI ICs are shown (3. 3. 4). Maintenance strategies are reviewed (4. 6). As in the previous editions of this book, reliability figures at system level have indices SI (e. g. |

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### Contents

Basic Concepts Quality and Reliability Assurance of Complex Equipment Systems l | 1 |

Reliability Analysis During the Design Phase N onrepairable Items up to System Failure | 25 |

Qualiﬁcation Tests for Components and Assemblies | 81 |

Maintainability Analysis | 112 |

Design Guidelines for Reliability Maintainability and Software Quality | 139 |

Reliability and Availability of Repairable Systems | 162 |

Statistical Quality Control and Reliability Tests | 277 |

Quality Reliability Assurance During the Production Phase Basic Considerations | 335 |

Basic StochasticProcesses Theory | 438 |

A73 Alternating Renewal Processes | 452 |

A75 Markov Processes with Finitely Many States | 458 |

A76 SemiMarkov Processes with Finitely Many States | 483 |

A78 Nonregenerative Stochastic Processes | 492 |

A8 Basic Mathematical Statistics | 503 |

A83 Testing Statistical Hypotheses | 525 |

A9 Tables and Charts | 539 |

Annexes | 351 |

A2 Quality and Reliability Standards | 365 |

A4 Checklists for Design Reviews | 383 |

A6 Basic Probability Theory | 391 |

A10 Basic Technological Components Properties | 550 |

Acronyms | 560 |

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### Common terms and phrases

active redundancy analysis Appendix arbitrary assumed asymptotic & steady-state average availability calculation complex equipment considered constant failure rate cost defects density design reviews diagram of transition distribution function empirical distribution function equations equipment and systems estimate event Example exponential distribution failure and repair failure at system failure mechanisms failure modes failure-free fault follows further failures Gamma distribution given by Eq inﬂuence investigation Laplace transform logistic support Markov chain Markov process mean MTBF MTTF MTTFSO MTTR NHPP nonrepairable normal distribution occurs one-item structure operating parameters phase point availability Poisson distribution Poisson process practical applications preventive maintenance procedure production quality and reliability random variable reliability assurance reliability block diagram reliability function renewal process repair crew repairable systems required function Section semi-Markov process Solution statistical stochastic process stress system level Table temperature transition probabilities transition rates type I error Weibull distribution yields