Birolini Reliability Engineering

Theory and Practice
Fourth Auflage 2004
ISBN: 978-3-662-05409-3
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 544 Seiten, Web PDF

The large interest granted to this book made a 4th edition necessary. The structure of the book is unchanged, with its main part in Chapters 1 - 8 and self contained appendices Al - A5 on management aspects and A6 -A8 on basic probability theory, stochastic processes & statistics. Such a structure allows rapid access to practical results and a comprehensive introduction to the mathematical foundation of reliability theory. The content has been extended and reviewed. New models & considerations have been added to Appendix A 7 for stochastic processes (NHPP), Chapter 4 for spare parts provisioning, Chapter 6 for complex repairable systems (imperfect switching, incomplete coverage, items with more than two states, phased-mission systems, fault tolerant reconfigurable systems with reward and frequency / duration aspects, Monte Carlo simulation), and Chapters 7 & 8 for reliability data analysis. Some results come from a stay in 2001 as Visiting Fellow at the Institute of Advanced Study of the University of Bologna. Performance, dependability, cost, and time to market are key factors for today's products and services. However, failure of complex systems can have major safety consequences.

Zielgruppe

Research

Autoren/Hrsg.

Birolini, Alessandro

Inhaltsverzeichnis

1 Basic Concepts, Quality and Reliability Assurance of Complex Equipment & Systems.- 2 Reliability Analysis During the Design and Development Phase.- 3 Qualification Tests for Components and Assemblies.- 4 Maintainability Analysis.- 5 Design Guidelines for Reliability, Maintainability, and Software Quality.- 6 Reliability and Availability of Repairable Systems.- 7 Statistical Quality Control and Reliability Tests.- 8 Quality and Reliability Assurance During the Production Phase.- A1 Terms and Definitions.- A2 Quality and Reliability Standards.- A2.1 Introduction.- A2.2 Requirements in the Industrial Field.- A2.3 Requirements in the Aerospace, Defense, and Nuclear Fields.- A3 Definition and Realization of Quality and Reliability Requirements.- A3.1 Definition of Quality and Reliability Requirements.- A3.2 Realization of Quality and Reliability Requirements for Complex Equip. & Systems.- A3.3 Elements of a Quality and Reliability Assurance Program.- A3.3.1 Project Organization, Planning,and Scheduling.- A3.3.2 Quality and Reliability Requirements.- A3.3.3 Reliability and Safety Analysis.- A3.3.4 Selection and Qualific. of Components, Materials, and Manuf. Processes.- A3.3.5 Configuration Management.- A3.3.6 Quality Tests.- A3.3.7 Quality Data Reporting System.- A4 Checklists for Design Reviews.- A4.1 System Design Review.- A4.2 Preliminary Design Reviews.- A4.3 Critical Design Review (System Level).- A5 Requirements for Quality Data Reporting Systems.- A6 Basic Probability Theory.- A6.1 Field of Events.- A6.2 Concept of Probability.- A6.3 Conditional Probability, Independence.- A6.4 Fundamental Rules of Probability Theory.- A6.4.1 Addition Theorem for Mutually Exclusive Events.- A6.4.2 Multiplication Theorem for Two Independent Events.- A6.4.3 Multiplication Theorem for Arbitrary Events.- A6.4.4 Addition Theorem for Arbitrary Events.- A6.4.5 Theorem of Total Probability.- A6.5 Random Variables, Distribution Functions.- A6.6 Numerical Parameters of Random Variables.-A6.6.1 Expected Value (Mean).- A6.6.2 Variance.- A6.6.3 Modal Value, Quantile, Median.- A6.7 Multidimensional Random Variables, Conditional Distributions.- A6.8 Numerical Parameters of Random Vectors.- A6.8.1 Covariance Matrix, Correlation Coefficient.- A6.8.2 Further Properties of Expected Value and Variance.- A6.10 Distribution Functions used in Reliability Analysis.- A6.10.1 Exponential Distribution.- A6.10.2 Weibull Distribution.- A6.10.4 Normal Distribution.- A6.10.5 Lognormal Distribution.- A6.10.6 Uniform Distribution.- A6.10.7 Binomial Distribution.- A6.10.8 Poisson Distribution.- A6.10.9 Geometric Distribution.- A6.10.10 Hypergeometric Distribution.- A6.11 Limit Theorems.- A6.11.1 Law of Large Numbers.- A6.11.2 Central Limit Theorem.- A7 Basic Stochastic-Processes Theory.- A7.1 Introduction.- A7.2 Renewal Processes.- A7.2.1 Renewal Function, Renewal Density.- A7.2.2 Recurrence Times.- A7.2.3 Asymptotic Behavior.- A7.2.4 Stationary Renewal Processes.- A7.2.5 Homogeneous PoissonProcesses.- A7.3 Alternating Renewal Processes.- A7.4 Regenerative Processes.- A7.5 Markov Processes with Finitely Many States.- A7.5.1 Markov Chains with Finitely Many States.- A7.5.2 Markov Processes with Finitely Many States.- A7.5.3 State Probabilities and Stay (Sojourn) Times in a Given Class of States.- A7.5.3.1 Method of Differential Equations.- A7.5.3.2 Method of Integral Equations.- A7.5.3.3 Stationary State and Asymptotic Behavior.- A7.5.4 Frequency / Duration and Reward Aspects.- A7.5.4.1 Frequency / Duration.- A7.5.4.2 Reward.- A7.5.5 Birth and Death Process.- A7.6 Semi-Markov Processes with Finitely Many States.- A7.7 Semi-regenerative Processes.- A7.8 Nonregenerative Stochastic Processes.- A7.8.1 General Considerations.- A7.8.2 Nonhomogeneous Poisson Processes (NHPP).- A8 Basic Mathematical Statistics.- A8.1 Empirical Methods.- A8.1.1 Empirical Distribution Function.- A8.1.2 Empirical Moments and Quantiles.- A8.1.3 Further Applications of the Empirical Distribution Function.- A8.2 Parameter Estimation.- A8.2.1 Point Estimation.- A8.2.2 Interval Estimation.- A8.3 Testing Statistical Hypotheses.- A8.3.1.1 Simple Two-sided Sampling Plan.- A8.3.1.2 Sequential Test.- A8.3.1.3 Simple One-sided Sampling Plan.- A9 Tables and Charts.- A9.1 Standard Normal Distribution.- A9.5 Table for the Kolmogorov-Smirnov Test.- A9.6 Gamma Function.- A9.7 Laplace Transform.- A9.8 Probability Charts (Probability Plot Papers).- A9.8.1 Lognormal Probability Chart.- A9.8.2 Weibull Probability Chart.- A9.8.3 Normal Probability Chart.- Acronyms.- References.