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: <ul>
<li>New chapters on applications of Monte Carlo simulation methods and reliability demonstration methods.</li> <li>Software applications of statistical methods, including probability plotting and a wider use of common software tools.</li> <li>More detailed descriptions of reliability prediction methods.</li> <li>Comprehensive treatment of accelerated test data analysis and warranty data analysis.</li> <li>Revised and expanded end-of-chapter tutorial sections to advance students’ practical knowledge.</li> </ul>
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

Practical Reliability Engineering

Engineering & Transportation

Kleyner, Andre

O’Connor, Patrick

Engineering

wiley

This complete resource on the theory and applications of reliability engineering, probabilistic models and risk analysis consolidates all the latest research, presenting the most up-to-date developments in this field. With comprehensive coverage of the theoretical and practical issues of both classic and modern topics, it also provides a unique commemoration to the centennial of the birth of Boris Gnedenko, one of the most prominent reliability scientists of the twentieth century. 
Key features include: <ul>
<li>expert treatment of probabilistic models and statistical inference from leading scientists, researchers and practitioners in their respective reliability fields</li> <li>detailed coverage of multi-state system reliability, maintenance models, statistical inference in reliability, systemability, physics of failures and reliability demonstration</li> <li>many examples and engineering case studies to illustrate the theoretical results and their practical applications in industry</li> </ul>
Applied Reliability Engineering and Risk Analysis is one of the first works to treat the important areas of degradation analysis, multi-state system reliability, networks and large-scale systems in one comprehensive volume. It is an essential reference for engineers and scientists involved in reliability analysis, applied probability and statistics, reliability engineering and maintenance, logistics, and quality control. It is also a useful resource for graduate students specialising in reliability analysis and applied probability and statistics. Dedicated to the Centennial of the birth of Boris Gnedenko, renowned Russian mathematician and reliability theorist

Applied Reliability Engineering and Risk Analysis: Probabilistic Models and Statistical Inference

Science & Math

Lisnianski, Anatoly

Frenkel, Ilia B.

Karagrigoriou, Alex

Technology

This book presents a methodology to minimize the  life cycle cost of a product based on the decision  variables controlled by a reliability/quality  professional during a product development process.   The relationship between product quality and product  reliability continues to be a gray area due to the  different nature of failures attributed to those two  categories and a general lack of studies  establishing the effect of product validation  activities on future field failures.  The methodology proposed in this book incorporates  all product dependability-related activities into a  comprehensive probabilistic cost model that enables  minimization of the product?s life cycle cost.  The  major model inputs include the cost of ownership of  test equipment, forecasted cost of warranty returns,  and environmental test parameters of a product  validation program.  This work will provide  reliability professionals with a methodology to  evaluate the efficiency of a product validation  program from a life cycle cost point of view, and  ultimately minimize that cost by optimizing the test  flow of the product validation process.

Determining Optimal Reliability Targets: Engineering Analysis and Simulation of Product Validation Costs and Warranty Data

LAP LAMBERT Academic Publishing

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