Reliability modelling, prediction, and optimization
Bringing together business and engineering to reliability analysis With manufactured products exploding in numbers and complexity, reliability studies play an increasingly critical role throughout a product's entire life cycle-from design to post-sale support. Reliability: Modeling, Prediction,...
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| Other Authors: | |
| Format: | Book |
| Language: | English |
| Published: |
New York
Wiley
2000
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| Series: | Wiley series in probability and statistics. Applied probability and statistics section
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| Subjects: | |
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| 090 | |a TA 169 |b .B59 2000 | ||
| 100 | 1 | |a Blischke, W. R. |d 1934- | |
| 245 | 1 | 0 | |a Reliability |b modelling, prediction, and optimization |c Wallace R. Blischke, D. N. Prabhakar Murthy |
| 260 | |a New York |b Wiley |c 2000 | ||
| 300 | |a xxvii, 812 p. |b ill. |c 25 cm | ||
| 490 | 1 | |a Wiley series in probability and statistics. |a Applied probability and statistics section | |
| 504 | |a Includes bibliographical references and index | ||
| 505 | 0 | |a Part A Context of Reliability Analysis -- 2 Illustrative Cases and Data Sets 31 -- Part B Basic Reliability Methodology -- 3 Collection and Preliminary Analysis of Failure Data 67 -- 4 Probability Distributions for Modeling Time to Failure 93 -- 5 Basic Statistical Methods for Data Analysis 135 -- Part C Reliability Modeling, Estimation, and Prediction -- 6 Modeling Failures at the Component Level 169 -- 7 Modeling and Analysis of Multicomponent Systems 201 -- 8 Advanced Statistical Methods for Data Analysis 243 -- 9 Software Reliability 287 -- 10 Design of Experiments and Analysis of Variance 319 -- 11 Model Selection and Validation 375 -- Part D Reliability Management, Improvement, and Optimization -- 12 Reliability Management 427 -- 13 Reliability Engineering 467 -- 14 Reliability Prediction and Assessment 511 -- 15 Reliability Improvement 537 -- 16 Maintenance of Unreliable Systems 559 -- 17 Warranties and Service Contracts 589 -- 18 Reliability Optimization 619 -- Appendix A. Probability 725 -- A.1 Introduction to Probability Theory 725 -- A.2 Moment-Generating and Characteristic Functions 727 -- A.3 Two or More Random Variables 728 -- A.4 Laplace Transforms 731 -- A.5 Functions of Random Variables 732 -- Appendix B. Introduction to Stochastic Processes 735 -- B.2 Markov Chains 737 -- B.3 Point Processes 737 -- B.4 Markov Processes 746 -- Table C1 Fractiles of the Standard Normal Distribution 749 -- Table C2 Fractiles of the Student-t Distribution 750 -- Table C3 Fractiles of the Chi-Square Distribution 752 -- Table C4 Factors for Two-Sided Tolerance Intervals, Normal Distribution 752 -- Table C5 Factors for One-Sided Tolerance Intervals, Normal Distribution 753 -- Table C6 Factors for Two-Sided Nonparametric Tolerance Intervals 754 -- Table C7 Factors for One-Sided Nonparametric Tolerance Intervals 755 -- Table C8 Fractiles of the F Distribution 756 -- Table C9 Upper Percentage Points of the Studentized Range 762 -- Appendix D. Basic Results on Stochastic Optimization 763 -- D.1 Unconstrained Static Optimization 763 -- D.2 Constrained Static Optimization 764 -- D.3 Multistage Dynamic Static Optimization 766 -- D.4 Continuous Time Dynamic Optimization 767. | |
| 520 | |a Bringing together business and engineering to reliability analysis With manufactured products exploding in numbers and complexity, reliability studies play an increasingly critical role throughout a product's entire life cycle-from design to post-sale support. Reliability: Modeling, Prediction, and Optimization presents a remarkably broad framework for the analysis of the technical and commercial aspects of product reliability, integrating concepts and methodologies from such diverse areas as engineering, materials science, statistics, probability, operations research, and management. Written in plain language by two highly respected experts in the field, this practical work provides engineers, operations managers, and applied statisticians with both qualitative and quantitative tools for solving a variety of complex, real-world reliability problems. A wealth of examples and case studies accompanies: Comprehensive coverage of assessment, prediction, and improvement at each stage of a product's life cycle Clear explanations of modeling and analysis for hardware ranging from a single part to whole systems Thorough coverage of test design and statistical analysis of reliability data A special chapter on software reliability Coverage of effective management of reliability, product support, testing, pricing, and related topics Lists of sources for technical information, data, and computer programs Hundreds of graphs, charts, and tables, as well as over 500 references PowerPoint slides are available from the Wiley editorial department. | ||
| 650 | 0 | |a Reliability (Engineering) | |
| 700 | 1 | |a Murthy, D. N. Prabhakar | |
| 830 | 0 | |a Wiley series in probability and statistics. |a Applied probability and statistics section | |
| 999 | |a vtls000006346 |c 6725 |d 6725 | ||