|
" Practical reliability engineering / "
Patrick P. O'Connor and Andre Kleyner.
| Document Type
|
:
|
BL
|
| Record Number
|
:
|
598033
|
| Doc. No
|
:
|
b427252
|
| Main Entry
|
:
|
O'Connor, Patrick D. T.
|
| Title & Author
|
:
|
Practical reliability engineering /\ Patrick P. O'Connor and Andre Kleyner.
|
| Edition Statement
|
:
|
5th ed.
|
| Publication Statement
|
:
|
Chichester, West Sussex :: Wiley,, 2012.
|
| Page. NO
|
:
|
xviii, 484 p. :: ill. ;; 26 cm.
|
| ISBN
|
:
|
9780470979822 (hardback)
|
|
|
:
|
: 0470979828 (hardback)
|
|
|
:
|
: 9780470979815 (paper)
|
|
|
:
|
: 047097981X (paper)
|
| Notes
|
:
|
Machine generated contents note: Preface to the First Edition. Preface to the Second Edition. Preface to the Third Edition. Preface to Third Edition Revised. Preface to Fourth Edition. Preface to Fifth Edition. Acknowledgements. Notation and Definitions. 1 Introduction to Reliability Engineering. What is Reliability Engineering?Why Teach Reliability Engineering?Why do Engineering Products Fail?Probabilistic Reliability. Repairable and Non-repairable Items. The Pattern of Failures with Time (Non-repairable Items). The Pattern of Failures with Time (Repairable Items). The Development of Reliability Engineering. Courses, Conferences and Literature.Organizations Involved in Reliability Work. Reliability as an Effectiveness Parameter. Reliability Programme Activities. Reliability Economics and Management. 2 Reliability Mathematics. Introduction. Variation. Probability Concepts. Rules of Probability. Continuous Variation. Continuous Distribution Functions. Summary of Continuous Statistical Distributions. Variation in Engineering. Conclusions. Discrete variation. Statistical Confidence. Statistical Hypothesis Testing. Non-parametric Inferential Methods. Goodness of Fit. Series of Events (Point Processes).Computer Software for Statistics. Practical Conclusions. 3 Life Data Analysis and Probability Plotting. Introduction. Life Data Classification. Ranking of Data. Weibull Distribution.Computerized Data Analysis and Probability Plotting. Confidence Bounds for Life Data Analysis. Choosing the Best Distribution and Assessing the Results. 4 Monte Carlo Simulation. Introduction. Monte Carlo Simulation Basics. Additional Statistical Distributions. Sampling a Statistical Distribution. Basic Steps for Performing a Monte Carlo Simulation. Monte Carlo Method Summary. 5 Load-strength Interference. Introduction. Distributed Load and Strength. Analysis of Load-strength Interference. Effect of Safety Margin and Loading Roughness on Reliability (Multiple Load Applications). Practical Aspects. 6 Reliability Prediction and Modelling. Introduction. Fundamental Limitations of Reliability Prediction. Standards Based Reliability PredictionOther Methods for Reliability Predictions. Practical Aspects. Systems Reliability Models. Availability of Repairable Systems. Modular Design. Block Diagram Analysis. Fault Tree Analysis (FTA). State-space Analysis (Markov Analysis). Petri Nets. Reliability Apportionment. 7 Design for Reliability. Introduction. Design for reliability Process. Identify. Design. Analyse. Verify. Validate. Control. Assessing the DfR Capability of an Organization. 8 Reliability of Mechanical Components and Systems. Introduction. Mechanical Stress, Strength and Fracture. Fatigue. Creep. Wear. Corrosion. Vibration and Shock. Temperature Effects. Materials.Components. Processes. 9 Electronic Systems Reliability. Introduction. Reliability of Electronic Components.Component Types and Failure Mechanisms. Summary of Device Failure Modes. Circuit and System Aspects. Electronic System Reliability Prediction. Reliability in Electronic System Design. Parameter Variation and Tolerances. Design for Production, Test and Maintenance. 10 Software Reliability. Introduction. Software in Engineering Systems. Software Errors. Preventing Errors. Software Structure and Modularity. Programming Style. Fault Tolerance. Redundancy/Diversity. Languages. Data Reliability. Software Checking. Software Testing. Error Reporting. Software Reliability Prediction and Measurement. Hardware/Software Interfaces. 11 Design of Experiments and Analysis of Variance. Introduction. Statistical Design of Experiments and Analysis of Variance. Randomizing the Data. Engineering Interpretation of Results. The Taguchi Method. 12 Reliability Testing. Introduction. Planning Reliability Testing. Test Environments. Testing for Reliability and Durability: Accelerated Test Test PlanningFailure Reporting, Analysis and Corrective Action Systems (FRACAS).13 Analysing Reliability Data. Introduction. Pareto Analysis. Accelerated Test Data Analysis. Acceleration Factor. Acceleration Models. Field-Test Relationship. Statistical Analysis of Accelerated Test Data. Reliability Analysis of Repairable Systems. CUSUM Charts. Exploratory Data Analysis and Proportional Hazards Modelling. Field and Warranty Data Analysis. 14 Reliability Demonstration and Growth. Introduction. Reliability Metrics. Test to Success (Test Run Method). Test to Failure Method. Extended Life Test. Continuous Testing. Degradation Analysis.Combining Results Using Bayesian Statistics. Non-Parametric Methods. Reliability Demonstration Software. Practical Aspects of Reliability Demonstration. Standard Methods for Repairable Equipment. Reliability Growth Monitoring. Making Reliability Grow. 15 Reliability in Manufacture. Introduction. Control of Production Variability. Control of Human Variation. Acceptance Sampling. Improving the Process. Quality Control in Electronics Production. Stress Screening. Production Failure Reporting Analysis and Corrective Action System (FRACAS).16 Maintainability, Maintenance and Availability. Introduction. Availability Measures. Maintenance Time Distributions. Preventive Maintenance Strategy. FMECA and FTA in Maintenance Planning. Maintenance Schedules. Technology Aspects. Calibration. Maintainability Prediction. Maintainability Demonstration. Design for Maintainability. Integrated Logistic Support. 17 Reliability Management. Corporate Policy for Reliability. Integrated Reliability Programmes. Reliability and Costs. Safety and Product Liability. Standards for Reliability, Quality and Safety. Specifying Reliability. Contracting for Reliability Achievement. Managing Lower-Level Suppliers. The Reliability Manual. The Project Reliability Plan. Use of External Services. Customer Management of Reliability. Selecting and Training for Reliability.Organization for ReliabilityReliability Capability and Maturity of an OrganizationManaging Production Quality. Quality Management Approaches. Choosing the Methods: Strategy and Tactics. Appendix 1 The Standard Cumulative Normal Distribution Function. Appendix 2. [chi]2(a, n) Distribution Values. Appendix 3 Kolmogorov-Smirnov Tables. Appendix 4 Rank Tables (5%, 95%). Appendix 5 Failure Reporting, Analysis and Corrective Action System (FRACAS). Appendix 6 Reliability, Maintainability (and Safety) Plan Example. Appendix 7 Matrix Algebra Revision. Index.
|
| Bibliographies/Indexes
|
:
|
Includes bibliographical references and index.
|
| Contents
|
:
|
Machine generated contents note: Preface to the First Edition. Preface to the Second Edition. Preface to the Third Edition. Preface to Third Edition Revised. Preface to Fourth Edition. Preface to Fifth Edition. Acknowledgements. Notation and Definitions. 1 Introduction to Reliability Engineering. What is Reliability Engineering?Why Teach Reliability Engineering?Why do Engineering Products Fail?Probabilistic Reliability. Repairable and Non-repairable Items. The Pattern of Failures with Time (Non-repairable Items). The Pattern of Failures with Time (Repairable Items). The Development of Reliability Engineering. Courses, Conferences and Literature.Organizations Involved in Reliability Work. Reliability as an Effectiveness Parameter. Reliability Programme Activities. Reliability Economics and Management -- 2. Reliability Mathematics. Introduction. Variation. Probability Concepts. Rules of Probability. Continuous Variation. Continuous Distribution Functions. Summary of Continuous Statistical Distributions. Variation in Engineering. Conclusions. Discrete variation. Statistical Confidence. Statistical Hypothesis Testing. Non-parametric Inferential Methods. Goodness of Fit. Series of Events (Point Processes).Computer Software for Statistics. Practical Conclusions -- 3. Life Data Analysis and Probability Plotting. Introduction. Life Data Classification. Ranking of Data. Weibull Distribution.Computerized Data Analysis and Probability Plotting. Confidence Bounds for Life Data Analysis. Choosing the Best Distribution and Assessing the Results -- 4. Monte Carlo Simulation. Introduction. Monte Carlo Simulation Basics. Additional Statistical Distributions. Sampling a Statistical Distribution. Basic Steps for Performing a Monte Carlo Simulation. Monte Carlo Method Summary -- 5. Load-strength Interference. Introduction. Distributed Load and Strength. Analysis of Load-strength Interference. Effect of Safety Margin and Loading Roughness on Reliability (Multiple Load Applications). Practical Aspects -- 6. Reliability Prediction and Modelling. Introduction. Fundamental Limitations of Reliability Prediction. Standards Based Reliability PredictionOther Methods for Reliability Predictions. Practical Aspects. Systems Reliability Models. Availability of Repairable Systems. Modular Design. Block Diagram Analysis. Fault Tree Analysis (FTA). State-space Analysis (Markov Analysis). Petri Nets. Reliability Apportionment. 7 Design for Reliability. Introduction. Design for reliability Process. Identify. Design. Analyse. Verify. Validate. Control. Assessing the DfR Capability of an Organization. 8 Reliability of Mechanical Components and Systems. Introduction. Mechanical Stress, Strength and Fracture. Fatigue. Creep. Wear. Corrosion. Vibration and Shock. Temperature Effects. Materials.Components. Processes. 9 Electronic Systems Reliability. Introduction. Reliability of Electronic Components.Component Types and Failure Mechanisms. Summary of Device Failure Modes. Circuit and System Aspects. Electronic System Reliability Prediction. Reliability in Electronic System Design. Parameter Variation and Tolerances. Design for Production, Test and Maintenance. 10 Software Reliability. Introduction. Software in Engineering Systems. Software Errors. Preventing Errors. Software Structure and Modularity. Programming Style. Fault Tolerance. Redundancy/Diversity. Languages. Data Reliability. Software Checking. Software Testing. Error Reporting. Software Reliability Prediction and Measurement. Hardware/Software Interfaces. 11 Design of Experiments and Analysis of Variance. Introduction. Statistical Design of Experiments and Analysis of Variance. Randomizing the Data. Engineering Interpretation of Results. The Taguchi Method -- 12. Reliability Testing. Introduction. Planning Reliability Testing. Test Environments. Testing for Reliability and Durability: Accelerated Test Test PlanningFailure Reporting, Analysis and Corrective Action Systems (FRACAS) -- 13. Analysing Reliability Data. Introduction. Pareto Analysis. Accelerated Test Data Analysis. Acceleration Factor. Acceleration Models. Field-Test Relationship. Statistical Analysis of Accelerated Test Data. Reliability Analysis of Repairable Systems. CUSUM Charts. Exploratory Data Analysis and Proportional Hazards Modelling. Field and Warranty Data Analysis -- 14. Reliability Demonstration and Growth. Introduction. Reliability Metrics. Test to Success (Test Run Method). Test to Failure Method. Extended Life Test. Continuous Testing. Degradation Analysis.Combining Results Using Bayesian Statistics. Non-Parametric Methods. Reliability Demonstration Software. Practical Aspects of Reliability Demonstration. Standard Methods for Repairable Equipment. Reliability Growth Monitoring. Making Reliability Grow -- 15. Reliability in Manufacture. Introduction. Control of Production Variability. Control of Human Variation. Acceptance Sampling. Improving the Process. Quality Control in Electronics Production. Stress Screening. Production Failure Reporting Analysis and Corrective Action System (FRACAS) -- 16. Maintainability, Maintenance and Availability. Introduction. Availability Measures. Maintenance Time Distributions. Preventive Maintenance Strategy. FMECA and FTA in Maintenance Planning. Maintenance Schedules. Technology Aspects. Calibration. Maintainability Prediction. Maintainability Demonstration. Design for Maintainability. Integrated Logistic Support -- 17. Reliability Management. Corporate Policy for Reliability. Integrated Reliability Programmes. Reliability and Costs. Safety and Product Liability. Standards for Reliability, Quality and Safety. Specifying Reliability. Contracting for Reliability Achievement. Managing Lower-Level Suppliers. The Reliability Manual. The Project Reliability Plan. Use of External Services. Customer Management of Reliability. Selecting and Training for Reliability.Organization for ReliabilityReliability Capability and Maturity of an OrganizationManaging Production Quality. Quality Management Approaches. Choosing the Methods: Strategy and Tactics -- Appendix 1. The Standard Cumulative Normal Distribution Function -- Appendix 2. [chi]2(a, n) Distribution Values -- Appendix 3. Kolmogorov-Smirnov Tables -- Appendix 4. Rank Tables (5%, 95%) -- Appendix 5. Failure Reporting, Analysis and Corrective Action System (FRACAS) -- Appendix 6. Reliability, Maintainability (and Safety) Plan Example -- Appendix 7. Matrix Algebra Revision. Index.
|
| Abstract
|
:
|
"Maintaining the academic and practical level of the Fourth Edition, while keeping up with modern reliability practices as evolve, this new edition presents the latest reliability software packages; has an expanded section on Weibull distribution, the most commonly used distribution in reliability mathematics; and includes PowerPoint slides and solutions for course tutors held on a companion website. It is an essential text for experienced design and reliability engineers, as well as engineers studying for CRE, ASQ or IQA certification and graduate or senior undergraduate students in quality assurance or reliability"--
|
|
|
:
|
"This book strikes a good balance combining both reliability mathematics and reliability engineering providing the basic knowledge needed for engineering students and reliability engineers at the earlier stages of their careers"--
|
| Subject
|
:
|
Reliability (Engineering)
|
| Dewey Classification
|
:
|
620/.00452
|
| Added Entry
|
:
|
Kleyner, Andre.
|
| |