Quality and Reliability of Technical Systems

Theory, Practice, Management

Häftad, Engelska, 2012

2 299 kr

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High reliability, maintanability, and safety are expected fro complex equipment and systems. This book presents state-of-the-art methods and procedures used for cost and time effective quality and reliability assurance during the design and production of equipment and systems. It is based on more than 20 years experience gained by the author in research and industry.The book covers theory, practice, and management aspects and addresses the needs of scientists, system-oriented engineers, engineers in development and production and project and quality assurance managers. The second edition has been completely updated revised and includes modern concepts such as Total Quality Management (TQM) and Concurrent Engineering.

Produktinformation

Utgivningsdatum2012-01-19
Mått155 x 235 x undefined mm
Vikt779 g
FormatHäftad
SpråkEngelska
Antal sidor502
Upplaga2
FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN9783642979859

Tillhör följande kategorier

1 Basic Concepts, Quality and Reliability Assurance of Complex Equipment and Systems.- 2 Reliability Analysis During the Design 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 Reliabilty Requirements.- 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 Analyses.- 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 (Assembly Level).- 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 Analyses.- 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 Process 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 Poisson Processes.- 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 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 Birth and Death Process.- A7.6 Semi-Markov Processes with Finitely Many States.- A7.7 Semi-regenerative Processes.- A7.8 Nonregenerative Stochastic Processes.- 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.- A9.8.1 Lognormal Probability Chart.- A9.8.2 Weibull Probability Chart.- A9.8.3 Normal Probability Chart.- Acronyms.- References.