Mathematical Models for the Study of the Reliability of Systems
Author: Cruon
Publisher: Academic Press
Published: 1977-09-27
Total Pages: 233
ISBN-13: 0080956335
DOWNLOAD EBOOKMathematical Models for the Study of the Reliability of Systems
Read and Download eBook Full
Author: Cruon
Publisher: Academic Press
Published: 1977-09-27
Total Pages: 233
ISBN-13: 0080956335
DOWNLOAD EBOOKMathematical Models for the Study of the Reliability of Systems
Author: Jorge Navarro
Publisher: Springer Nature
Published: 2021-10-03
Total Pages: 181
ISBN-13: 3030869539
DOWNLOAD EBOOKThis textbook provides the tools for a modern post-graduate introductory course on system reliability theory. It focuses on probabilistic aspects of the theory, including recent results based on signatures, stochastic orders, aging classes, copulas and distortion (or aggregation) functions. The reader requires on an introductory knowledge on probability theory and mathematics. The book serves both for graduate students in mathematics and for engineering students in various disciplines as well as students learning survival analysis, network reliability or simple game theory. Included also are brief introductions to the basic aspects of lifetime modelling, stochastic comparisons, aging classes, mixtures and copula theory. The book develops this knowledge with worked examples and supplies code for the program R so that students can explore its lessons and techniques.
Author: Fabio Casciati
Publisher: CRC Press
Published: 1996-07-24
Total Pages: 386
ISBN-13: 9780849396311
DOWNLOAD EBOOKMathematical Models for Structural Reliability Analysis offers mathematical models for describing load and material properties in solving structural engineering problems. Examples are provided, demonstrating how the models are implemented, and the limitations of the models are clearly stated. Analytical solutions are also discussed, and methods are clearly distinguished from models. The authors explain both theoretical models and practical applications in a clear, concise, and readable fashion.
Author: V.V. Rykov
Publisher: Springer Science & Business Media
Published: 2010-11-02
Total Pages: 465
ISBN-13: 0817649719
DOWNLOAD EBOOKThe book is a selection of invited chapters, all of which deal with various aspects of mathematical and statistical models and methods in reliability. Written by renowned experts in the field of reliability, the contributions cover a wide range of applications, reflecting recent developments in areas such as survival analysis, aging, lifetime data analysis, artificial intelligence, medicine, carcinogenesis studies, nuclear power, financial modeling, aircraft engineering, quality control, and transportation. Mathematical and Statistical Models and Methods in Reliability is an excellent reference text for researchers and practitioners in applied probability and statistics, industrial statistics, engineering, medicine, finance, transportation, the oil and gas industry, and artificial intelligence.
Author: Min Xie
Publisher: World Scientific
Published: 1991-10-16
Total Pages: 229
ISBN-13: 9814506222
DOWNLOAD EBOOKThis book summarizes the recent advances in software reliability modelling. Almost all the existing models are classified and the most interesting models are described in detail.Because of the application of software in many industrial, military and commercial systems, software reliability has become an important research area. Although there are many models and results appeared in different journals and conference proceedings, there is a lack of systematic publications on this subject. The aim of this book is to provide an overview of this area and provide software reliability researchers and analysts with a systematic study of the existing results. This book can also be used as a reference book for other software engineers and reliability theoreticians interested in this area.
Author: Amit Kumar
Publisher: Academic Press
Published: 2021-02-02
Total Pages: 520
ISBN-13: 0128195827
DOWNLOAD EBOOKThe Handbook of Reliability, Maintenance, and System Safety through Mathematical Modeling discusses the many factors affect reliability and performance, including engineering design, materials, manufacturing, operations, maintenance, and many more. Reliability is one of the fundamental criteria in engineering systems design, with maintenance serving as a way to support reliability throughout a system's life. Addressing these issues requires information, modeling, analysis and testing. Different techniques are proposed and implemented to help readers analyze various behavior measures (in terms of the functioning and performance) of systems. Enables mathematicians to convert any process or system into a model that can be analyzed through a specific technique Examines reliability and mathematical modeling in a variety of disciplines, unlike competitors which typically examine only one Includes a table of contents with simple to complex examples, starting with basic models and then refining modeling approaches step-by-step
Author: Richard E. Barlow
Publisher: SIAM
Published: 1996-01-01
Total Pages: 271
ISBN-13: 0898713692
DOWNLOAD EBOOKThis monograph presents a survey of mathematical models useful in solving reliability problems. It includes a detailed discussion of life distributions corresponding to wearout and their use in determining maintenance policies, and covers important topics such as the theory of increasing (decreasing) failure rate distributions, optimum maintenance policies, and the theory of coherent systems. The emphasis throughout the book is on making minimal assumptions - and only those based on plausible physical considerations - so that the resulting mathematical deductions may be safely made about a large variety of commonly occurring reliability situations. The first part of the book is concerned with component reliability, while the second part covers system reliability, including problems that are as important today as they were in the 1960s. The enduring relevance of the subject of reliability and the continuing demand for a graduate-level book on this topic are the driving forces behind its re-publication.
Author: Arnljot Høyland
Publisher: John Wiley & Sons
Published: 2009-09-25
Total Pages: 536
ISBN-13: 0470317744
DOWNLOAD EBOOKA comprehensive introduction to reliability analysis. The first section provides a thorough but elementary prologue to reliability theory. The latter half comprises more advanced analytical tools including Markov processes, renewal theory, life data analysis, accelerated life testing and Bayesian reliability analysis. Features numerous worked examples. Each chapter concludes with a selection of problems plus additional material on applications.
Author: Rakhee Kulshrestha
Publisher: CRC Press
Published: 2021-01-04
Total Pages: 172
ISBN-13: 1000288676
DOWNLOAD EBOOKThis book covers an interdisciplinary approach for understanding mathematical modeling by offering a collection of models, solved problems related to the models, the methodologies employed, and the results using projects and case studies with insight into the operation of substantial real-time systems. The book covers a broad scope in the areas of statistical science, probability, stochastic processes, fluid dynamics, supply chain, optimization, and applications. It discusses advanced topics and the latest research findings, uses an interdisciplinary approach for real-time systems, offers a platform for integrated research, and identifies the gaps in the field for further research. The book is for researchers, students, and teachers that share a goal of learning advanced topics and the latest research in mathematical modeling.
Author: Kanchan Das
Publisher:
Published: 2023-05-31
Total Pages: 0
ISBN-13: 9788770229685
DOWNLOAD EBOOKEach of the chapters contributes state of the art research for the relevant resilience related topic covered in the chapter.