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Relevant Acoustic Phonetics of L2 English: Focus on Intelligibility
by Ettien KoffiIntelligibility is the ultimate goal of human communication. However, measuring it objectively remained elusive until the 1940s when physicist Harvey Fletcher pioneered a psychoacoustic methodology for doing so. Another physicist, von Bekesy, demonstrated clinically that Fletcher’s theory of Critical Bands was anchored in anatomical and auditory reality. Fletcher’s and Bekesy’s approach to intelligibility has revolutionized contemporary understanding of the processes involved in encoding and decoding speech signals. Their insights are applied in this book to account for the intelligibility of the pronunciation of 67 non-native speakers from the following language backgrounds –10 Arabic, 10 Japanese, 10 Korean, 10 Mandarin, 11 Serbian and Croatian "the Slavic Group," 6 Somali, and 10 Spanish speakers who read the Speech Accent Archive elicitation paragraph. Their pronunciation is analyzed instrumentally and compared and contrasted with that of 10 native speakers of General American English (GAE) who read the same paragraph. The data-driven intelligibility analyses proposed in this book help answer the following questions: Can L2 speakers of English whose native language lacks a segment/segments or a suprasegment/ suprasegments manage to produce it/them intelligibly? If they cannot, what segments or suprasegments do they use to substitute for it/them? Do the compensatory strategies used interfere with intelligibility? The findings reported in this book are based on nearly 12,000 measured speech tokens produced by all the participants. This includes some 2,000 vowels, more than 500 stop consonants, over 3,000 fricatives, nearly 1,200 nasals, about 1,500 approximants, a over 1,200 syllables onsets, as many as 800 syllable codas, more than 1,600 measurement of F0/pitch, and duration measurements of no fewer than 539 disyllabic words. These measurements are in keeping with Baken and Orlikoff (2000:3) and in accordance with widely accepted Just Noticeable Difference thresholds, and relative functional load calculations provided by Catforda (1987).
Reliability Achievement: The commercial incentive
by Terje AvenThis book represents the proceedings of the 10th annual symposium of the Society of Reliability Engineers, Scandinavian Chapter, and was held in Stavanger, Norway, 9-11 October 1989. The theme of the symposium emphasised the need for obtaining a competitive edge through reliability in systems engineering and addressed the role of reliability in marketing, contracts, customer support and product liability. This book will be of interest to those involved in reliability engineering, risk assessment, safety and maintenance engineering.
Reliability Analysis of Modern Power Systems
by P. Sanjeevikumar R. K. SaketA reader-friendly introduction to reliability analysis and its power systems applications The subset of probability theory known as reliability theory analyzes the likelihood of failure in a given component or system under given conditions. It is a critical aspect of engineering as it concerns systems of all kinds, not least modern power systems, with their essential role in sustaining the technologies on which modern life relies. Reliability Analysis of Modern Power Systems is a thorough, accessible book introducing the core concepts of reliability theory as they apply to power systems engineering, as well as the advanced technologies currently driving new frontiers in reliability analysis. It is a must-own for anyone looking to understand and improve the systems that power our world. Readers will also find: Detailed discussion of reliability modeling and simulation of composite systems using Typhoon HIL 404 Reliability assessment of generation systems, transmission systems, distribution systems, and more Information on renewable energy integration for more sustainable power grids Reliability Analysis of Modern Power Systems is ideal for professionals, engineers, and researchers in power system design and reliability engineering, as well as for advanced undergraduate and graduate students in these and related subjects.
Reliability Analysis, Safety Assessment and Optimization: Methods and Applications in Energy Systems and Other Applications (Quality and Reliability Engineering Series)
by Enrico Zio Yan-Fu LiThis book is a comprehensive overview of the recently developed methods for assessing and optimizing system reliability and safety. It consists of two main parts, for assessment and optimization methods, respectively. The former covers multi-state system modelling and reliability evaluation, Markov processes, Monte Carlo simulation and uncertainty treatments under poor knowledge. The reviewed methods range from piecewise-deterministic Markov process to belief functions. The latter covers mathematical programs, evolutionary algorithms, multi-objective optimization and optimization under uncertainty. The reviewed methods range from non-dominated sorting genetic algorithm to robust optimization. This book also includes the applications of the assessment and optimization method on real world cases, particularly for the reliability and safety of renewable energy systems. From this point of view, the book bridges the gap between theoretical development and engineering practice.
Reliability Analysis Using MINITAB and Python
by Jaejin HwangReliability Analysis Using MINITAB and Python Complete overview of the theory and fundamentals of Reliability Analysis applied with Minitab and Python tools Reliability Analysis Using Minitab and Python expertly applies Minitab and Python programs to the field of reliability engineering, presenting basic concepts and explaining step-by-step how to implement statistical distributions and reliability analysis methods using the two programming languages. The textbook enables readers to effectively use software to efficiently process massive amounts of data while also reducing human error. Examples and case studies as well as exercises and questions are included throughout to enable a smooth learning experience. Excel files containing the sample data and Minitab and Python example files are also provided. Students who have basic knowledge of probability and statistics will find this textbook highly approachable. Nonetheless, it also covers material on basic statistics at the beginning, so students who are not familiar with statistics can follow the material as well. Written by a highly qualified author in the field, sample topics covered in Reliability Analysis Using Minitab and Python include: Establishing a basic statistical background, with a focus on probability, joint probability, union probability, conditional probability, mutually exclusive events, and bayes’ rule Statistical distributions, with a focus on discrete cases, continuous cases, exponential distribution, Weibull distribution, normal distribution, and lognormal distribution Reliability data plotting, with a focus on straight line properties, least squares fit, linear rectification, exact failure times, and readout failure data Accelerated life testing, with a focus on accelerated testing theory, exponential distribution acceleration, and Weibull distribution acceleration System failure modeling, with a focus on reliability block diagram, series system model, parallel system model, k-out-of-n system model, and minimal paths and minimal cuts. Repairable systems, with a focus on corrective and preventive maintenances, availability, maintainability, and preventive maintenance scheduling Reliability Analysis Using Minitab and Python serves as an excellent introductory level textbook on the topic for both undergraduate and graduate students. It presents information clearly and concisely and includes many helpful additional learning resources to aid in understanding of concepts, information retention, and practical application.
Reliability Analysis with Minitab
by Surendra M. Gupta Kishore Kumar PochampallyMany of the product recalls that we see daily are due to unexpected failures resulting from poor reliability analysis during the product design stage. Minitab is a statistical software package that has a highly useful set of Reliability/Survival tools, but those tools are barely explored or explained in literature. This new book illustrates the application of Minitab for reliability analysis. It uses case studies in both manufacturing and service sectors.
Reliability and Availability Engineering: Modeling, Analysis, and Applications
by Kishor S. Trivedi Andrea BobbioDo you need to know what technique to use to evaluate the reliability of an engineered system? This self-contained guide provides comprehensive coverage of all the analytical and modeling techniques currently in use, from classical non-state and state space approaches, to newer and more advanced methods such as binary decision diagrams, dynamic fault trees, Bayesian belief networks, stochastic Petri nets, non-homogeneous Markov chains, semi-Markov processes, and phase type expansions. Readers will quickly understand the relative pros and cons of each technique, as well as how to combine different models together to address complex, real-world modeling scenarios. Numerous examples, case studies and problems provided throughout help readers put knowledge into practice, and a solutions manual and Powerpoint slides for instructors accompany the book online. This is the ideal self-study guide for students, researchers and practitioners in engineering and computer science.
Reliability and Life-Cycle Analysis of Deteriorating Systems
by Georgia-Ann Klutke Mauricio Sánchez-SilvaThis book compiles and critically discusses modern engineering system degradation models and their impact on engineering decisions. In particular, the authors focus on modeling the uncertain nature of degradation considering both conceptual discussions and formal mathematical formulations. It also describes the basics concepts and the various modeling aspects of life-cycle analysis (LCA). It highlights the role of degradation in LCA and defines optimum design and operation parameters. Given the relationship between operational decisions and the performance of the system's condition over time, maintenance models are also discussed. The concepts and models presented have applications in a large variety of engineering fields such as Civil, Environmental, Industrial, Electrical and Mechanical engineering. However, special emphasis is given to problems related to large infrastructure systems. The book is intended to be used both as a reference resource for researchers and practitioners and as an academic text for courses related to risk and reliability, infrastructure performance modeling and life-cycle assessment.
Reliability and Maintenance Modeling with Optimization: Advances and Applications (Advanced Research in Reliability and System Assurance Engineering)
by Mitsutaka Kimura Satoshi Mizutani Mitsuhiro Imaizumi Kodo ItoReliability and maintenance modeling with optimization is the most fundamental and interdisciplinary research area that can be applied to every technical and management field. Reliability and Maintenance Modeling with Optimization: Advances and Applications aims at providing the most recent advances and achievements in reliability and maintenance. The book discusses replacement, repair, and inspection, offers estimation and statistical tests, covers accelerated life testing, explores warranty analysis manufacturing, and includes service reliability. The targeted readers are researchers interested in reliability and maintenance engineering. The book can serve as supplemental reading in professional seminars for engineers, designers, project managers, and graduate students.
Reliability and Optimization of Structural Systems: Proceedings of the 10th IFIP WG7.5 Working Conference, Osaka, Japan, 25-27 March 2002
by H. Furuta M. Dogaki M. SakanoThis volume contains 28 papers including 4 keynote papers presented at the 10th IFIP WG7.5 Working Conference, focusing on the reliability and optimization of structural systems.
Reliability and Optimization of Structural Systems: Proceedings of the 11th IFIP WG7.5 Working Conference, Banff, Canada, 2-5 November 2003
by Luc Huyse Marc MaesThis volume is an outcome of the 11th IFIP WG7.5 working conference on Reliability and Optimization of Structural Systems in Canada. The conference focuses on structural reliability methods and applications and engineering risk analysis and decision-making.
Reliability and Physics-of-Healthy in Mechatronics
by Abdelkhalak El Hami David Delaux<p>This book illustrates simply, but with many details, the state of the art of reliability science, exploring clear reliability disciplines and applications through concrete examples from their industries and from real life, based on industrial experiences.<p> <p>Many experts believe that reliability is not only a matter of statistics but is a multidisciplinary scientific topic, involving materials, tests, simulations, quality tools, manufacturing, electronics, mechatronics, environmental engineering and Big Data, among others.<p> <p>For a complex mechatronic system, failure risks have to be identified at an early stage of the design. In the automotive and aeronautic industries, fatigue simulation is used both widely and efficiently. Problems arise from the variability of inputs such as fatigue parameters and life curves. This book aims to discuss probabilistic fatigue and reliability simulation.<p> <p>To do this, Reliability and Physics-of-Healthy in Mechatronics provides a study on some concepts of a predictive reliability model of microelectronics, with examples from the automotive, aeronautic and space industries, based on entropy and Physics-of-Healthy.<p>
Reliability and Risk Analysis: A Practical Guide, Third Edition (ISSN)
by Mohammad Modarres Katrina GrothCompletely updated for a new edition, this book introduces reliability and risks analysis, for both practicing engineers and engineering students at the undergraduate and graduate levels. Since reliability analysis is a multidisciplinary subject, this book draws together a wide range of topics and presents them in a way that applies to most engineering disciplines.What Every Engineer Should Know About Reliability and Risk Analysis, Second Edition, emphasizes an introduction and explanation of the practical methods used in reliability and risk studies, with a discussion of their uses and limitations. It offers basic and advanced methods in reliability analysis that are commonly used in daily practice and provides methods that address unique topics such as dependent failure analysis, importance analysis, and analysis of repairable systems. The book goes on to present a comprehensive overview of modern probabilistic life assessment methods such as Bayesian estimation, system reliability analysis, and human reliability. End-of-chapter problems and a solutions manual are available to support any course adoptions.This book is refined, simple, and focuses on fundamentals. The audience is the beginner with no background in reliability engineering and rudimentary knowledge of probability and statistics. It can be used by new practitioners, undergraduates, and first-year graduate students.
Reliability and Risk Analysis in Engineering and Medicine (Transactions on Computational Science and Computational Intelligence)
by Chandrasekhar Putcha Subhrajit Dutta Sanjay K. GuptaThis graduate textbook imparts the fundamentals of reliability and risk that can be connected mathematically and applied to problems in engineering and medical science and practice. The book is divided into eight chapters, the first three of which deal with basic fundamentals of probability theory and reliability methods. The fourth chapter illustrates simulation methods needed to solve complex problems. Chapters 5-7 explain reliability codes and system reliability (which uses the component reliabilities discussed in previous chapters). The book concludes in chapter 8 with an examination of applications of reliability within engineering and medical fields. Presenting a highly relevant competency for graduates entering product research and development, or facilities operations sectors, this text includes many examples and end of chapter study questions to maximize student comprehension.Explains concepts of reliability and risk estimation techniques in the context of medicine and engineering;Elucidates the interplay between reliability and risk from design to operation phases;Uses real world examples from engineering structures and medical devices and protocols;Adopts a lucid yet rigorous presentation of reliability and risk calculations;Reinforces students understanding of concepts covered with end-of-chapter exercises.
Reliability and Risk Assessment in Engineering: Proceedings of INCRS 2018 (Lecture Notes in Mechanical Engineering)
by Vijay Kumar Gupta Prabhakar V. Varde P. K. Kankar Narendra JoshiThis volume is a collection of articles on reliability and safety engineering presented during INCRS 2018. The articles cover a variety of topics such as big data analytics and their applications in reliability assessment and condition monitoring, health monitoring, management, diagnostics and prognostics of mechanical systems, design for reliability and optimization, and machine learning for industrial applications. A special aspect of this volume is the coverage of performance, failure and reliability issues in electrical distribution systems. This book will be a useful reference for graduate students, researchers and professionals working in the area of reliability assessment, condition monitoring and predictive maintenance.
Reliability and Risk Evaluation of Wind Integrated Power Systems
by Rajesh Karki Ajit Kumar Verma Roy BillintonThe world is witnessing a rapid growth in wind and other renewable based electricity generation due to environmental concerns associated with electricity generation from the conventional sources. Wind power behaves quite differently than conventional electric power generating units due to its intermittent and diffuse nature. System planners and operators face the variability and uncertainty of wind power availability, and therefore, encounter considerable challenges in making decisions to maintain the adequacy and security of wind integrated power systems. This volume intends to bring out the original research work of researchers from academia and industry in understanding, quantifying and managing the risks associated with the uncertainty in wind variability in order to plan and operate a modern power system integrated with a significant proportion of wind power generation with an acceptable level of reliability. Accurate modeling of wind power variability and proper incorporation of the models in reliability and risk evaluation is very important for the planning and operation of electric power systems, and will play a crucial role in defining the requirement of various types of resources and services, such as storage and ancillary services in power systems.
Reliability and Risk Modeling of Engineering Systems (EAI/Springer Innovations in Communication and Computing)
by Dilbagh Panchal Prasenjit Chatterjee Dragan Pamucar Mohit TyagiThis book addresses reliability, maintenance, risk, and safety issues of industrial systems with applications of the latest decision-making techniques. Thus, this book presents chapters that apply advanced tools, techniques, and computing models for optimizing the performance of industrial and manufacturing systems, along with other complex engineering equipment. Computing techniques like data analytics, failure mode and effects analysis, fuzzy set theory, petri-net, multi-criteria decision-making (MCDM), and soft computing are used for solving problems of reliability, risk, and safety related issues.
Reliability and Risk Models
by Michael TodinovA comprehensively updated and reorganized new edition. The updates include comparative methods for improving reliability; methods for optimal allocation of limited resources to achieve a maximum risk reduction; methods for improving reliability at no extra cost and building reliability networks for engineering systems.Includes: * A unique set of 46 generic principles for reducing technical risk * Monte Carlo simulation algorithms for improving reliability and reducing risk * Methods for setting reliability requirements based on the cost of failure * New reliability measures based on a minimal separation of random events on a time interval * Overstress reliability integral for determining the time to failure caused by overstress failure modes * A powerful equation for determining the probability of failure controlled by defects in loaded components with complex shape * Comparative methods for improving reliability which do not require reliability data * Optimal allocation of limited resources to achieve a maximum risk reduction * Improving system reliability based solely on a permutation of interchangeable components
Reliability and Safety Engineering
by Ajit Kumar Verma Srividya Ajit Durga Rao KarankiReliability and safetyare core issues that must be addressed throughout the life cycle of engineeringsystems. Reliability and Safety Engineering presents an overview of the basicconcepts, together with simple and practical illustrations. The authors presentreliability terminology in various engineering fields, viz. , electronicsengineering, software engineering, mechanical engineering, structuralengineering and power systems engineering. The book describes the latestapplications in the area of probabilistic safety assessment, such as technicalspecification optimization, risk monitoring and risk informed in-serviceinspection. Reliability and safety studies must, inevitably, deal withuncertainty, so the book includes uncertainty propagation methods: Monte Carlosimulation, fuzzy arithmetic, Dempster-Shafer theory and probability bounds. Reliability and Safety Engineering also highlights advances in system reliabilityand safety assessment including dynamic system modeling and uncertaintymanagement. Case studies from typical nuclear power plants as well as fromstructural, software and electronic systems are also discussed. Reliability and SafetyEngineering combines discussions of the existing literature on basic conceptsand applications with state-of-the-art methods used in reliability and riskassessment of engineering systems. It is designed to assist practicingengineers, students and researchers in the areas of reliability engineering andrisk analysis.
Reliability and Safety of Cable-Supported Bridges (Resilience and Sustainability in Civil, Mechanical, Aerospace and Manufacturing Engineering Systems)
by Naiwei Lu Yang Liu Mohammad NooriBridge design and construction technologies have experienced remarkable developments in recent decades, and numerous long-span bridges have been built or are under construction all over the world. Cable-supported bridges, including cable-stayed bridges and suspension bridges, are the main type of these long-span bridges, and are widely used in highways crossing gorges, rivers, and gulfs, due to their superior structural mechanical properties and beautiful appearance. However, cable-supported bridges suffer from harsh environmental effects and complex loading conditions, such as heavier traffic loads, strong winds, corrosion effects, and other natural disasters. Therefore, the lifetime safety evaluation of these long-span bridges considering the rigorous service environments is an essential task. Features: Presents a comprehensive explanation of system reliability evaluation for all aspects of cable-supported bridges. Includes a comprehensive presentation of the application of system reliability theory in bridge design, safety control, and operational management. Addresses fatigue reliability, dynamic reliability and seismic reliability assessment of bridges. Presents a complete investigation and case study in each chapter, allowing readers to understand the applicability for real-world scenarios. Reliability and Safety of Cable-Supported Bridges provides a comprehensive application and guidelines for system reliability techniques in cable-supported bridges. Serving as a practical educational resource for both undergraduate and graduate level students, practicing engineers, and researchers, it also intends to provide an intuitive appreciation for probability theory, statistical methods, and reliability analysis methods.
Reliability and Safety of Complex Technical Systems and Processes
by Krzysztof Kołowrocki Joanna Soszyńska-BudnyReliability and Safety of Complex Technical Systems and Processes offers a comprehensive approach to the analysis, identification, evaluation, prediction and optimization of complex technical systems operation, reliability and safety. Its main emphasis is on multistate systems with ageing components, changes to their structure, and their components reliability and safety parameters during the operation processes. Reliability and Safety of Complex Technical Systems and Processes presents integrated models for the reliability, availability and safety of complex non-repairable and repairable multistate technical systems, with reference to their operation processes and their practical applications to real industrial systems. The authors consider variables in different operation states, reliability and safety structures, and the reliability and safety parameters of components, as well as suggesting a cost analysis for complex technical systems. Researchers and industry practitioners will find information on a wide range of complex technical systems in Reliability and Safety of Complex Technical Systems and Processes. It may prove an easy-to-use guide to reliability and safety evaluations of real complex technical systems, both during their operation and at the design stages.
Reliability and Statistical Computing: Modeling, Methods and Applications (Springer Series in Reliability Engineering)
by Hoang PhamThis book presents the latest developments in both qualitative and quantitative computational methods for reliability and statistics, as well as their applications. Consisting of contributions from active researchers and experienced practitioners in the field, it fills the gap between theory and practice and explores new research challenges in reliability and statistical computing. The book consists of 18 chapters. It covers (1) modeling in and methods for reliability computing, with chapters dedicated to predicted reliability modeling, optimal maintenance models, and mechanical reliability and safety analysis; (2) statistical computing methods, including machine learning techniques and deep learning approaches for sentiment analysis and recommendation systems; and (3) applications and case studies, such as modeling innovation paths of European firms, aircraft components, bus safety analysis, performance prediction in textile finishing processes, and movie recommendation systems. Given its scope, the book will appeal to postgraduates, researchers, professors, scientists, and practitioners in a range of fields, including reliability engineering and management, maintenance engineering, quality management, statistics, computer science and engineering, mechanical engineering, business analytics, and data science.
Reliability and Statistics in Transportation and Communication: Selected Papers from the 19th International Conference on Reliability and Statistics in Transportation and Communication, RelStat’19, 16-19 October 2019, Riga, Latvia (Lecture Notes in Networks and Systems #117)
by Igor Kabashkin Irina Yatskiv Olegas PrentkovskisThis book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice. The book presents the most noteworthy methods and results discussed at the International Conference on Reliability and Statistics in Transportation and Communication (RelStat), which took place in Riga, Latvia on October 16 – 19, 2019. It spans a broad spectrum of topics, from mathematical models and design methodologies, to software engineering, data security and financial issues, as well as practical problems in technical systems, such as transportation and telecommunications, and in engineering education.
Reliability and Statistics in Transportation and Communication: Selected Papers from the 20th International Conference on Reliability and Statistics in Transportation and Communication, RelStat2020, 14-17 October 2020, Riga, Latvia (Lecture Notes in Networks and Systems #195)
by Igor Kabashkin Irina Yatskiv Olegas PrentkovskisThis book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice. The book presents the most noteworthy methods and results discussed at the International Conference on Reliability and Statistics in Transportation and Communication (RelStat), which took place remotely from Riga, Latvia, on October 14 – 17, 2020. It spans a broad spectrum of topics, from mathematical models and design methodologies, to software engineering, data security and financial issues, as well as practical problems in technical systems, such as transportation and telecommunications, and in engineering education.
Reliability and Statistics in Transportation and Communication: Selected Papers from the 21st International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication, RelStat2021, 14-15 October 2021, Riga, Latvia (Lecture Notes in Networks and Systems #410)
by Igor Kabashkin Irina Yatskiv Olegas PrentkovskisThis book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice. The book presents the most noteworthy methods and results discussed at the 21st International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication (RelStat), which took place remotely from Riga, Latvia, on October 14 – 15, 2021. It spans a broad spectrum of topics, from mathematical models and design methodologies, to software engineering, data security and financial issues, as well as practical problems in technical systems, such as transportation and telecommunications, and in engineering education.