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This book provides engineers and researchers knowledge to help them in system reliability analysis using machine learning, artificial intelligence, big data, genetic algorithm, information theory, multi-criteria decision making, and other techniques. It will also be useful to students learning reliability engineering.The book brings readers up to date with how system reliability relates to the latest techniques of AI, big data, genetic algorithm, information theory, and multi-criteria decision making and points toward future developments in the subject.
This book covers advanced reliability and maintainability knowledge as applied to recent engineering problems. It highlights research in the fields of reliability measures of binary and complex engineering systems, cost analysis, simulations, optimizations, risk factors, and sensitivity analysis. The book scrutinizes various advanced tools and techniques, methodology, and concepts to solve the various engineering problems related to reliability and maintainability of the industrial system at minimum cost and maximum profit. It consists of 15 chapters and offers a platform to researchers, academicians, professionals and scientists to enhance their knowledge and understanding the concept of reliability in engineering.
This book presents the state-of-the-art methodology and detailed analytical models and methods used to assess the reliability of complex systems and related applications in statistical reliability engineering.
This book presents 14 recent papers that provide an overview of the latest software reliability models, testing techniques, and applications. The book is targeted toward design engineers, software engineers, researchers, computer scientists, technical managers, and students wishing to conduct research or update their knowledge in the field of software reliability and testing. The papers on software reliability describe applications of software reliability growth modeling to software systems, investigate the relationship between program complexity measures and program errors, and explore the difficulty in accurately modeling software reliability. The remaining papers present new models that are useful in estimating the reliability of software systems and deal with the cost-reliability-optimal software release policies in software systems. The papers on software testing investigate the relationship between reliability and testing, discuss safety arguments and the role of software and system reliability and describe the use of an operational profile in testing a large-scale industrial software system for estimating software. The remaining papers present new models useful in testing software systems.
Companies are being forced to process and manage increasingly differentiated products with shorter life cycles, low volumes and reduced customer delivery times. This book introduces an original and integrated idea of maintenance: maintenance for productivity.
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