Automotive Electronics Reliability
Automotive Electronics Reliability

Author: Ronald K Jurgen

Publisher: SAE International

Published: 2010-08-10

Total Pages: 377

ISBN-13: 0768096669

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Vehicle reliability problems continue to be the news because of major vehicle recalls from several manufacturers. This book includes 40 SAE technical papers, published from 2007 through 2010, that describe the latest research on automotive electronics reliability technology. This book will help engineers and researchers focus on the design strategies being used to minimize electronics reliability problems, and how to test and verify those strategies. After an overview of durability, risk assessment, and failure mechanisms, this book focuses on state-of-the-art techniques for reliability-based design, and reliability testing and verification. Topics include: powertrain control monitoring distributed automotive embedded systems model-based design x-by-wire systems battery durability design verification fault tree analysis The book also includes editor Ronald K. Jurgen’s introduction ,“Striving for Maximum Reliability in a Highly Complex Electronic Environment”, and a concluding section on the future of electronics reliability, including networking technology, domain control units, the use of AUTOSAR, and embedded software.

Life Cycle Reliability Engineering
Life Cycle Reliability Engineering

Author: Guang Yang

Publisher: John Wiley & Sons

Published: 2007-02-02

Total Pages: 533

ISBN-13: 0471715298

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As the Lead Reliability Engineer for Ford Motor Company, Guangbin Yang is involved with all aspects of the design and production of complex automotive systems. Focusing on real-world problems and solutions, Life Cycle Reliability Engineering covers the gamut of the techniques used for reliability assurance throughout a product's life cycle. Yang pulls real-world examples from his work and other industries to explain the methods of robust design (designing reliability into a product or system ahead of time), statistical and real product testing, software testing, and ultimately verification and warranting of the final product's reliability

Robust Design Methodology for Reliability
Robust Design Methodology for Reliability

Author: Bo Bergman

Publisher: John Wiley & Sons

Published: 2009-08-18

Total Pages: 214

ISBN-13: 047074880X

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Based on deep theoretical as well as practical experience in Reliability and Quality Sciences, Robust Design Methodology for Reliability constructively addresses practical reliability problems. It offers a comprehensive design theory for reliability, utilizing robust design methodology and six sigma frameworks. In particular, the relation between un-reliability and variation and uncertainty is explored and reliability improvement measures in early product development stages are suggested. Many companies today utilise design for Six Sigma (DfSS) for strategic improvement of the design process, but often without explicitly describing the reliability perspective; this book explains how reliability design can relate to and work with DfSS and illustrates this with real–world problems. The contributors advocate designing for robustness, i.e. insensitivity to variation in the early stages of product design development. Methods for rational treatment of uncertainties in model assumptions are also presented. This book promotes a new approach to reliability thinking that addresses the design process and proneness to failure in the design phase via sensitivity to variation and uncertainty; includes contributions from both academics and industry practitioners with a broad scope of expertise, including quality science, mathematical statistics and reliability engineering; takes the innovative approach of promoting the study of variation and uncertainty as a basis for reliability work; includes case studies and illustrative examples that translate the theory into practice. Robust Design Methodology for Reliability provides a starting point for new thinking in practical reliability improvement work that will appeal to advanced designers and reliability specialists in academia and industry including fatigue engineers, product development and process/ quality professionals, especially those interested in and/ or using the DfSS framework.

Engineering Design Reliability Applications
Engineering Design Reliability Applications

Author: Efstratios Nikolaidis

Publisher: CRC Press

Published: 2007-09-19

Total Pages: 374

ISBN-13: 1420051334

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In the current, increasingly aggressive business environment, crucial decisions about product design often involve significant uncertainty. Highlighting the competitive advantage available from using risk-based reliability design, Engineering Design Reliability Applications: For the Aerospace, Automotive, and Ship Industries provides an overview of

Reliability Prediction and Testing Textbook
Reliability Prediction and Testing Textbook

Author: Lev M. Klyatis

Publisher: John Wiley & Sons

Published: 2018-07-12

Total Pages: 289

ISBN-13: 1119411939

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This textbook reviews the methodologies of reliability prediction as currently used in industries such as electronics, automotive, aircraft, aerospace, off-highway, farm machinery, and others. It then discusses why these are not successful; and, presents methods developed by the authors for obtaining accurate information for successful prediction. The approach is founded on approaches that accurately duplicate the real world use of the product. Their approach is based on two fundamental components needed for successful reliability prediction; first, the methodology necessary; and, second, use of accelerated reliability and durability testing as a source of the necessary data. Applicable to all areas of engineering, this textbook details the newest techniques and tools to achieve successful reliabilityprediction and testing. It demonstrates practical examples of the implementation of the approaches described. This book is a tool for engineers, managers, researchers, in industry, teachers, and students. The reader will learn the importance of the interactions of the influencing factors and the interconnections of safety and human factors in product prediction and testing.

Diesel Engine System Design
Diesel Engine System Design

Author: Qianfan Xin

Publisher: Elsevier

Published: 2011-05-26

Total Pages: 1087

ISBN-13: 0857090836

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Diesel Engine System Design links everything diesel engineers need to know about engine performance and system design in order for them to master all the essential topics quickly and to solve practical design problems. Based on the author's unique experience in the field, it enables engineers to come up with an appropriate specification at an early stage in the product development cycle. - Links everything diesel engineers need to know about engine performance and system design featuring essential topics and techniques to solve practical design problems - Focuses on engine performance and system integration including important approaches for modelling and analysis - Explores fundamental concepts and generic techniques in diesel engine system design incorporating durability, reliability and optimization theories

Optimization Under Uncertainty with Applications to Aerospace Engineering
Optimization Under Uncertainty with Applications to Aerospace Engineering

Author: Massimiliano Vasile

Publisher: Springer Nature

Published: 2021-02-15

Total Pages: 573

ISBN-13: 3030601668

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In an expanding world with limited resources, optimization and uncertainty quantification have become a necessity when handling complex systems and processes. This book provides the foundational material necessary for those who wish to embark on advanced research at the limits of computability, collecting together lecture material from leading experts across the topics of optimization, uncertainty quantification and aerospace engineering. The aerospace sector in particular has stringent performance requirements on highly complex systems, for which solutions are expected to be optimal and reliable at the same time. The text covers a wide range of techniques and methods, from polynomial chaos expansions for uncertainty quantification to Bayesian and Imprecise Probability theories, and from Markov chains to surrogate models based on Gaussian processes. The book will serve as a valuable tool for practitioners, researchers and PhD students.