Reliability Modelling and Analysis in Discrete Time

Reliability Modelling and Analysis in Discrete Time provides an overview of the probabilistic and statistical aspects connected with discrete reliability systems. This engaging book discusses their distributional properties and dependence structures before exploring various orderings associated between different reliability structures. Though clear explanations, multiple examples, and exhaustive coverage of the basic and advanced topics of research in this area, the work gives the reader a thorough understanding of the theory and concepts associated with discrete models and reliability structures. A comprehensive bibliography assists readers who are interested in further research and understanding. Requiring only an introductory understanding of statistics, this book offers valuable insight and coverage for students and researchers in Probability and Statistics, Electrical Engineering, and Reliability/Quality Engineering. The book also includes a comprehensive bibliography to assist readers seeking to delve deeper. Includes a valuable introduction to Reliability Theory before covering advanced topics of research and real world applications Features an emphasis on the mathematical theory of reliability modeling Provides many illustrative examples to foster reader understanding

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  • Author : Unnikrishnan Nair
  • Publisher : Academic Press
  • Pages : 508 pages
  • ISBN : 0128020067
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKReliability Modelling and Analysis in Discrete Time

Reliability Modelling and Analysis in Discrete Time

Reliability Modelling and Analysis in Discrete Time
  • Author : Unnikrishnan Nair,P.G. Sankaran,N. Balakrishnan
  • Publisher : Academic Press
  • Release : 15 May 2018
GET THIS BOOKReliability Modelling and Analysis in Discrete Time

Reliability Modelling and Analysis in Discrete Time provides an overview of the probabilistic and statistical aspects connected with discrete reliability systems. This engaging book discusses their distributional properties and dependence structures before exploring various orderings associated between different reliability structures. Though clear explanations, multiple examples, and exhaustive coverage of the basic and advanced topics of research in this area, the work gives the reader a thorough understanding of the theory and concepts associated with discrete models and reliability structures. A

Parametric and Semiparametric Models with Applications to Reliability, Survival Analysis, and Quality of Life

Parametric and Semiparametric Models with Applications to Reliability, Survival Analysis, and Quality of Life
  • Author : M.S. Nikulin,N. Balakrishnan,Mounir Mesbah,Nikolaos Limnios
  • Publisher : Springer Science & Business Media
  • Release : 11 November 2013
GET THIS BOOKParametric and Semiparametric Models with Applications to Reliability, Survival Analysis, and Quality of Life

Parametric and semiparametric models are tools with a wide range of applications to reliability, survival analysis, and quality of life. This self-contained volume examines these tools in survey articles written by experts currently working on the development and evaluation of models and methods. While a number of chapters deal with general theory, several explore more specific connections and recent results in "real-world" reliability theory, survival analysis, and related fields. Specific topics covered include: * cancer prognosis using survival forests * short-term health

Modeling and Simulation Based Analysis in Reliability Engineering

Modeling and Simulation Based Analysis in Reliability Engineering
  • Author : Mangey Ram
  • Publisher : CRC Press
  • Release : 18 July 2018
GET THIS BOOKModeling and Simulation Based Analysis in Reliability Engineering

Recent developments in reliability engineering has become the most challenging and demanding area of research. Modeling and Simulation, along with System Reliability Engineering has become a greater issue because of high-tech industrial processes, using more complex systems today. This book gives the latest research advances in the field of modeling and simulation, based on analysis in engineering sciences. Features Focuses on the latest research in modeling and simulation based analysis in reliability engineering. Covers performance evaluation of complex engineering systems

Discrete Stochastic Models and Applications for Reliability Engineering and Statistical Quality Control

Discrete Stochastic Models and Applications for Reliability Engineering and Statistical Quality Control
  • Author : Serkan Eryilmaz
  • Publisher : CRC Press
  • Release : 16 August 2022
GET THIS BOOKDiscrete Stochastic Models and Applications for Reliability Engineering and Statistical Quality Control

Discrete stochastic models are tools that allow us to understand, control, and optimize engineering systems and processes. This book provides real-life examples and illustrations of models in reliability engineering and statistical quality control and establishes a connection between the theoretical framework and their engineering applications. The book describes discrete stochastic models along with real-life examples and explores not only well-known models, but also comparatively lesser known ones. It includes definitions, concepts, and methods with a clear understanding of their use

Advances in Mathematical Modeling for Reliability

Advances in Mathematical Modeling for Reliability
  • Author : T. Bedford
  • Publisher : IOS Press
  • Release : 28 June 2022
GET THIS BOOKAdvances in Mathematical Modeling for Reliability

Advances in Mathematical Modeling for Reliability discusses fundamental issues on mathematical modeling in reliability theory and its applications. Beginning with an extensive discussion of graphical modeling and Bayesian networks, the focus shifts towards repairable systems: a discussion about how sensitive availability calculations parameter choices, and emulators provide the potential to perform such calculations on complicated systems to a fair degree of accuracy and in a computationally efficient manner. Another issue that is addressed is how competing risks arise in reliability

Stochastic Models in Reliability, Network Security and System Safety

Stochastic Models in Reliability, Network Security and System Safety
  • Author : Quan-Lin Li,Jinting Wang,Hai-Bo Yu
  • Publisher : Springer Nature
  • Release : 21 October 2019
GET THIS BOOKStochastic Models in Reliability, Network Security and System Safety

This book is dedicated to Jinhua Cao on the occasion of his 80th birthday. Jinhua Cao is one of the most famous reliability theorists. His main contributions include: published over 100 influential scientific papers; published an interesting reliability book in Chinese in 1986, which has greatly influenced the reliability of education, academic research and engineering applications in China; initiated and organized Reliability Professional Society of China (the first part of Operations Research Society of China) since 1981. The high admiration that Professor Cao

Modeling and Analysis of Dependable Systems

Modeling and Analysis of Dependable Systems
  • Author : Luigi Portinale,Daniele Codetta Raiteri
  • Publisher : World Scientific
  • Release : 09 June 2015
GET THIS BOOKModeling and Analysis of Dependable Systems

The monographic volume addresses, in a systematic and comprehensive way, the state-of-the-art dependability (reliability, availability, risk and safety, security) of systems, using the Artificial Intelligence framework of Probabilistic Graphical Models (PGM). After a survey about the main concepts and methodologies adopted in dependability analysis, the book discusses the main features of PGM formalisms (like Bayesian and Decision Networks) and the advantages, both in terms of modeling and analysis, with respect to classical formalisms and model languages. Methodologies for deriving PGMs

Applied Reliability Engineering and Risk Analysis

Applied Reliability Engineering and Risk Analysis
  • Author : Ilia B. Frenkel,Alex Karagrigoriou,Anatoly Lisnianski,Andre V. Kleyner
  • Publisher : John Wiley & Sons
  • Release : 22 August 2013
GET THIS BOOKApplied Reliability Engineering and Risk Analysis

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: expert treatment of probabilistic models and statistical

Advances in Computational Intelligence Systems

Advances in Computational Intelligence Systems
  • Author : Thomas Jansen,Richard Jensen,Neil Mac Parthaláin,Chih-Min Lin
  • Publisher : Springer Nature
  • Release : 17 November 2021
GET THIS BOOKAdvances in Computational Intelligence Systems

This book contains the papers presented at the 20th UK Workshop on Computational Intelligence (UKCI 2021), held virtually by Aberystwyth University, 8–10th September 2021. This marks the 20th anniversary of UKCI; a testament to the increasing role and importance of Computational Intelligence (CI) and the continuing interest in its development. UKCI provides a forum for the academic community and industry to share ideas and experience in this field. EDMA 2021, the 4th International Engineering Data- and Model-Driven Applications workshop, is also incorporated and

Handbook of Performability Engineering

Handbook of Performability Engineering
  • Author : Krishna B. Misra
  • Publisher : Springer Science & Business Media
  • Release : 24 August 2008
GET THIS BOOKHandbook of Performability Engineering

Dependability and cost effectiveness are primarily seen as instruments for conducting international trade in the free market environment. These factors cannot be considered in isolation of each other. This handbook considers all aspects of performability engineering. The book provides a holistic view of the entire life cycle of activities of the product, along with the associated cost of environmental preservation at each stage, while maximizing the performance.

Modeling for Reliability Analysis

Modeling for Reliability Analysis
  • Author : Jan Pukite,Paul Pukite
  • Publisher : John Wiley & Sons
  • Release : 22 June 1998
GET THIS BOOKModeling for Reliability Analysis

"Markov modeling has long been accepted as a fundamental and powerful technique for the fault tolerance analysis of mission-critical applications. However, the elaborate computations required have often made Markov modeling too time-consuming to be of practical use on these complex systems. With this hands-on tool, designers can use the Markov modeling technique to analyze safety, reliability, maintainability, and cost-effectiveness factors in the full range of complex systems in use today. Featuring ground-breaking simulation software and a comprehensive reference manual, MARKOV

Fault Detection, Supervision and Safety of Technical Processes 2006

Fault Detection, Supervision and Safety of Technical Processes 2006
  • Author : Hong-Yue Zhang
  • Publisher : Elsevier
  • Release : 01 March 2007
GET THIS BOOKFault Detection, Supervision and Safety of Technical Processes 2006

The safe and reliable operation of technical systems is of great significance for the protection of human life and health, the environment, and of the vested economic value. The correct functioning of those systems has a profound impact also on production cost and product quality. The early detection of faults is critical in avoiding performance degradation and damage to the machinery or human life. Accurate diagnosis then helps to make the right decisions on emergency actions and repairs. Fault detection

Stochastic Reliability Modeling, Optimization and Applications

Stochastic Reliability Modeling, Optimization and Applications
  • Author : Syouji Nakamura,Toshio Nakagawa
  • Publisher : World Scientific
  • Release : 28 June 2022
GET THIS BOOKStochastic Reliability Modeling, Optimization and Applications

"Reliability theory and applications become major concerns of engineers and managers engaged in making high quality products and designing highly reliable systems. This book aims to survey new research topics in reliability theory and useful applied techniques in reliability engineering." "The reader will learn new topics and techniques, and how to apply reliability models to actual ones. The book will serve as an essential guide to a subject of study for graduate students and researchers and as a useful guide

Analytical and Stochastic Modeling Techniques and Applications

Analytical and Stochastic Modeling Techniques and Applications
  • Author : Khalid Al-Begain,Dieter Fiems,Gábor Horváth
  • Publisher : Springer
  • Release : 09 June 2009
GET THIS BOOKAnalytical and Stochastic Modeling Techniques and Applications

This book constitutes the refereed proceedings of the 16th International Conference on Analytical and Stochastic Modeling Techniques and Applications, ASMTA 2009, held in Madrid, Spain, in June 2009 in conjunction with ECMS 2009, the 23nd European Conference on Modeling and Simulation. The 27 revised full papers presented were carefully reviewed and selected from 55 submissions. The papers are organized in topical sections on telecommunication networks; wireless & mobile networks; simulation; quueing systems & distributions; queueing & scheduling in telecommunication networks; model checking & process algebra; performance & reliability analysis of

Quality of Software Architectures Models and Architectures

Quality of Software Architectures Models and Architectures
  • Author : Steffen Becker,Frantisek Plasil,Ralf H. Reussner
  • Publisher : Springer
  • Release : 10 October 2008
GET THIS BOOKQuality of Software Architectures Models and Architectures

Models are used in all kinds of engineering disciplines to abstract from the various details of the modelled entity in order to focus on a speci?c aspect. Like a blueprint in civil engineering, a software architecture providesan abstraction from the full software system’s complexity. It allows software designers to get an overview on the system underdevelopmentandtoanalyzeitsproperties.Inthissense,modelsarethefoundation needed for software development to become a true engineering discipline. Especially when reasoning on a software system’s extra-functional properties,