Machine Learning and Knowledge Discovery for Engineering Systems Health Management presents state-of-the-art tools and techniques for automatically detecting, diagnosing, and predicting the effects of adverse events in an engineered system. With contributions from many top authorities on the subject, this volume is the first to bring together the two areas of machine learning and systems health management.

Divided into three parts, the book explains how the fundamental algorithms and methods of both physics-based and data-driven approaches effectively...

Large-scale machine learning, currently focused on the internet and/or social network analysis, could prove highly beneficial in the study of earth science, a broad multidisciplinary field of study that generates huge amounts of data. This comprehensive book is the first to tackle the subject of large-scale machine learning and its applications to the earth sciences. It covers significant issues in earth science and large-scale machine learning techniques with each contributing author recognized as a well-known authority in the field.