Springer Data-Driven Engineering Systems Health Management Book

Master the complexities of condition-based maintenance (CBM) and data-driven prognostics and health management (PHM) with this comprehensive guide from Springer. This book provides a structured look at the PHM design approach from a systems engineering perspective, making it an essential resource for those working with modern engineering systems. Readers will learn how to implement data-driven methodologies for feature construction, fault diagnosis, and prognosis. The text covers the full lifecycle of health management, including feature-based diagnosis and decision-making processes. By focusing on practical applications, the book helps bridge the gap between theoretical algorithms and real-world implementation. To support learning, the content includes numerous illustrations and tables that clarify complex algorithms. It also provides practical examples designed to help users solve problems in situations where traditional analytic solutions are not effective. This book equips professionals and students with the necessary tools to apply advanced PHM concepts to engineering challenges.