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| This collection of thirteen articles on machine learning and data discovery systems showcases current scholarship relating to the application of modern data and information technologies in monitoring system resilience and health. The volume is divided into sections covering data-driven systems for health management, physics-based methods for heath management, and practical applications, and papers discuss such topics as Bayesian networks for systems heath management, model based tools for real time system and software health management, and hybrid models for engine health monitoring. Chapters include individual tables of contents, notes and references, Contributors include academics in a variety of engineering fields from universities and research institutions around the world. Annotation 穢2012 Book News, Inc., Portland, OR (booknews.com) |
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