Predictive Analytics in System Reliability

This book provides engineers and researchers with 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 also covers future developments in the subject.

Format: Hardback
Length: 282 pages
Publication date: 09 September 2022
Publisher: Springer International Publishing AG

This comprehensive book is a valuable resource for engineers and researchers seeking to advance their understanding and expertise in system reliability analysis. By leveraging cutting-edge techniques such as machine learning, artificial intelligence, big data, genetic algorithm, information theory, and multi-criteria decision making, readers will gain the necessary tools to tackle complex reliability challenges. Whether you are a seasoned professional or a student embarking on a career in reliability engineering, this book will provide you with a solid foundation of knowledge and skills.

The book begins by introducing the fundamental concepts of system reliability and exploring how these concepts can be applied using modern techniques. It then delves into the realm of AI and big data, discussing their role in analyzing large amounts of data and extracting valuable insights. Genetic algorithms are also explored, as they are used to optimize complex systems and improve their performance.

Information theory plays a crucial role in system reliability analysis, as it helps to measure and improve the communication between components. Multi-criteria decision making is another important technique that enables engineers to make informed decisions based on multiple criteria.

Throughout the book, real-world examples and case studies are provided to illustrate the practical applications of these techniques. Readers will gain a deep understanding of how to apply these techniques to various industries, such as transportation, healthcare, and energy.

In conclusion, this book is a must-read for anyone interested in system reliability analysis. It provides a comprehensive and up-to-date overview of the latest techniques and provides readers with the skills and knowledge needed to succeed in this field. Whether you are an engineer, researcher, or student, this book will help you advance your understanding of system reliability and contribute to the development of more reliable and efficient systems.

Weight: 612g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031053467
Edition number: 1st ed. 2023