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OPTIMAL RELIABILITY MODELING: PRINCIPLES AND APPLICATIONS By Way Kuo & Ming J.

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Item specifics

Condition
Good: A book that has been read but is in good condition. Very minimal damage to the cover including ...
ISBN-10
047139761X
Book Title
Optimal Reliability Modeling: Principles and Applications
ISBN
9780471397618
Subject Area
Technology & Engineering
Publication Name
Optimal Reliability Modeling : Principles and Applications
Publisher
Wiley & Sons, Incorporated, John
Item Length
9.3 in
Subject
Engineering (General), Drafting & Mechanical Drawing
Publication Year
2002
Type
Textbook
Format
Hardcover
Language
English
Item Height
1.2 in
Author
Ming J. Zuo, Way Kuo
Item Weight
31.7 Oz
Item Width
6.3 in
Number of Pages
560 Pages
Category

About this product

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
047139761X
ISBN-13
9780471397618
eBay Product ID (ePID)
28038296878

Product Key Features

Number of Pages
560 Pages
Publication Name
Optimal Reliability Modeling : Principles and Applications
Language
English
Publication Year
2002
Subject
Engineering (General), Drafting & Mechanical Drawing
Type
Textbook
Author
Ming J. Zuo, Way Kuo
Subject Area
Technology & Engineering
Format
Hardcover

Dimensions

Item Height
1.2 in
Item Weight
31.7 Oz
Item Length
9.3 in
Item Width
6.3 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2002-005287
Dewey Edition
21
Illustrated
Yes
Dewey Decimal
620.00452
Table Of Content
Preface.Acknowledgments.1 Introduction.1.1 Needs for Reliability Modeling.1.2 Optimal Design.2 Reliability Mathematics.2.1 Probability and Distributions.2.1.1 Events and Boolean Algebra.2.1.2 Probabilities of Events.2.1.3 Random Variables and Their Characteristics.2.1.4 Multivariate Distributions.2.1.5 Special Discrete Distributions.2.1.6 Special Continuous Distributions.2.2 Reliability Concepts.2.3 Commonly Used Lifetime Distributions.2.4 Stochastic Processes.2.4.1 General Definitions.2.4.2 Homogeneous Poisson Process.2.4.3 Nonhomogeneous Poisson Process.2.4.4 Renewal Process.2.4.5 Discrete-Time Markov Chains.2.4.6 Continuous-Time Markov Chains.2.5 Complex System Reliability Assessment Using Fault Tree Analysis.3 Complexity Analysis.3.1 Orders of Magnitude and Growth.3.2 Evaluation of Summations.3.3 Bounding Summations.3.4 Recurrence Relations.3.4.1 Expansion Method.3.4.2 Guess-and-Prove Method.3.4.3 Master Method.3.5 Summary.4 Fundamental System Reliability Models.4.1 Reliability Block Diagram.4.2 Structure Functions.4.3 Coherent Systems.4.4 Minimal Paths and Minimal Cuts.4.5 Logic Functions.4.6 Modules within a Coherent System.4.7 Measures of Performance.4.8 One-Component System.4.9 Series System Model.4.9.1 System Reliability Function and MTTF.4.9.2 System Availability.4.10 Parallel System Model.4.10.1 System Reliability Function and MTTF.4.10.2 System Availability of Parallel System with Two i.i.d. Components.4.10.3 System Availability of Parallel System with Two Different Components.4.10.4 Parallel Systems withn i.i.d. Components.4.11 Parallel-Series System Model.4.12 Series-Parallel System Model.4.13 Standby System Model.4.13.1 Cold Standby Systems.4.13.2 Warm Standby Systems.5 General Methods for System Reliability Evaluation.5.1 Parallel and Series Reductions.5.2 Pivotal Decomposition.5.3 Generation of Minimal Paths and Minimal Cuts.5.3.1 Connection Matrix.5.3.2 Node Removal Method for Generation of Minimal Paths.5.3.3 Generation of Minimal Cuts from Minimal Paths.5.4 Inclusion-Exclusion Method.5.5 Sum-of-Disjoint-Products Method.5.6 Markov Chain Imbeddable Structures.5.6.1 MIS Technique in Terms of System Failures.5.6.2 MIS Technique in Terms of System Success.5.7 Delta-Star and Star-Delta Transformations.5.7.1 Star or Delta Structure with One Input Node and Two Output Nodes.5.7.2 Delta Structure in Which Each Node May Be either an Input Node or an Output Node.5.8 Bounds on System Reliability.5.8.1 IE Method.5.8.2 SDP Method.5.8.3 Esary-Proschan (EP) Method.5.8.4 Min-Max Bounds.5.8.5 Modular Decompositions.5.8.6 Notes.6 General Methodology for System Design.6.1 Redundancy in System Design.6.2 Measures of Component Importance.6.2.1 Structural Importance.6.2.2 Reliability Importance.6.2.3 Criticality Importance.6.2.4 Relative Criticality.6.3 Majorization and Its Application in Reliability.6.3.1 Definition of Majorization.6.3.2 Schur Functions.6.3.3 L-Additive Functions.6.4 Reliability Importance in Optimal Design.6.5 Pairwise Rearrangement in Optimal Design.6.6 Optimal Arrangement for Series and Parallel Systems.6.7 Optimal Arrangement for Series-Parallel Systems.6.8 Optimal Arrangement for Parallel-Series Systems.6.9 Two-Stage Systems.6.10 Summary.7 Thek-out-of-nSystem Model.7.1 System Reliability Evaluation.7.1.1 Thek-out-of-n:G System with i.i.d. Components.7.1.2
Synopsis
Comprehensive coverage of system reliability evaluation and optimal systems design Optimal Reliability Modeling presents a complete volume of information and strategies for determining the most effective ways to make systems meet all necessary performance requirements, while considering schedule, cost, and feasibility. This practical book interprets, evaluates, and provides examples of all reliability systems in both binary and multistate contexts, including parallel, series, standby, k-out-of-n and consecutive-k-out-of-n, and general system models, as well as providing detailed explanations of system design to better diagnose, maintain, and improve existing systems. Vital topics that make Optimal Reliability Modeling a powerful hands-on tool include: ∗ Complexity analysis-for background knowledge on efficiency comparisons of system reliability evaluation algorithms ∗ The Markov chain imbeddable structure-an effective tool for system reliability analysis ∗ Majorization-a powerful tool for the development of invariant optimal designs for some system structures ∗ The multistate system reliability theory-systematically introduced for the first time in a text on engineering system reliability analysis ∗ The latest k-out-of-n and consecutive-k-out-of-n system models-includes physical explanations and various applications Optimal Reliability Modeling is the ideal book on system reliability for statisticians; industrial, electrical, computer, and mechanical engineers; and researchers and students., Promotes better ways to diagnose, maintain, and improve existing systems. Existing reliability evaluation models are examined with respect to today's complicated engineering systems that have hundreds of thousands of integrated component designs., This hands-on book covers all the system reliability models used in industry with evaluations and examinations of a variety of systems along with a generous supplement of examples. Coverage includes parallel, series, standby, k-out-of-n, consecutive k-out-of-n, and general system models.
LC Classification Number
TA169.K86 2002

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