Patrick O'Connor, Andre Kleyner

Practical Reliability Engineering (eBook, PDF)

• Format: PDF

Produktbeschreibung

With emphasis on practical aspects of engineering, this bestseller has gained worldwide recognition through progressive editions as the essential reliability textbook. This fifth edition retains the unique balanced mixture of reliability theory and applications, thoroughly updated with the latest industry best practices. Practical Reliability Engineering fulfils the requirements of the Certified Reliability Engineer curriculum of the American Society for Quality (ASQ). Each chapter is supported by practice questions, and a solutions manual is available to course tutors via the companion website. Enhanced coverage of mathematics of reliability, physics of failure, graphical and software methods of failure data analysis, reliability prediction and modelling, design for reliability and safety as well as management and economics of reliability programmes ensures continued relevance to all quality assurance and reliability courses. Notable additions include: * New chapters on applications of Monte Carlo simulation methods and reliability demonstration methods. * Software applications of statistical methods, including probability plotting and a wider use of common software tools. * More detailed descriptions of reliability prediction methods. * Comprehensive treatment of accelerated test data analysis and warranty data analysis. * Revised and expanded end-of-chapter tutorial sections to advance students' practical knowledge. The fifth edition will appeal to a wide range of readers from college students to seasoned engineering professionals involved in the design, development, manufacture and maintenance of reliable engineering products and systems. www.wiley.com/go/oconnor_reliability5

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 512
• Erscheinungstermin: 3. November 2011
• Englisch
• ISBN-13: 9781119961277
• Artikelnr.: 37364075

Autorenporträt

Patrick O'Connor, Stevenage, UK Since 1995 Patrick O'Connor has worked as an independent consultant on engineering management, reliability, quality and safety. He received his engineering training at the Royal Air Force Technical College and served for 16 years in the RAF Engineer Branch, including tours on aircraft maintenance and in the Reliability and Maintainability office of the Ministry of Defence (Air). He was appointed Reliability Manager of British Aerospace Dynamics in 1980 and joined British Rail Research as Reliability Manager in 1993. Mr. O'Connor is the author of Practical Reliability Engineering, published by John Wiley (4th. edition 2002). He is also the author of the chapter on reliability and quality engineering in the Academic Press Encyclopaedia of Physical Science and Technology, and until 1999 was the UK editor of the Wiley journal Quality and Reliability Engineering International. He has written many papers and articles on quality and reliability engineering and management, and he lectures at universities and other venues on these subjects. He is editor of the Wiley book series in quality and reliability engineering. Andre Kleyner, Delphi Electronics & Safety, USA Andre Kleyner has over 25 years of engineering, research, consulting, and managerial experience specializing in reliability of electronic and mechanical systems designed to operate in severe environments. He received the doctorate in Mechanical Engineering from University of Maryland, and Master of Business Administration from Ball State University. Dr. Kleyner is a Global Reliability Engineering Leader with Delphi Electronics & Safety, and an adjunct professor at Purdue University. Andre developed and taught many training courses for reliability, quality, and design professionals. He also holds several US and foreign patents and authored professional publications on reliability, quality, and other engineering topics. Andre has is a senior member of American Society for Quality, Certified Reliability and Quality Engineer and Six-sigma black belt. He holds several US and foreign patents and hs authored many papers on the topics of warranty, lifecycle cost, reliability, and statistics. His areas of expertise are: Design for Reliability (DfR); Reliability of Electronic and Mechanical Systems; Product Test and Validation Planning; Physics of Failure; Warranty Management; Reliability Prediction and Warranty Forecasting; Weibull Analysis; Monte Carlo Simulation; Systems Engineering; Dependability analysis, and testing of energy systems for power electronics and electric/hybrid vehicles, and Training and consulting in these areas.

Inhaltsangabe

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 Prediction Other 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 Planning Failure
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
Reliability Reliability Capability and Maturity of an Organization Managing
Production Quality. Quality Management Approaches. Choosing the Methods:
Strategy and Tactics. Appendix 1 The Standard Cumulative Normal
Distribution Function. Appendix 2. Dz(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.