eBook - ePub
Machine Learning and Knowledge Discovery for Engineering Systems Health Management
- 502 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Machine Learning and Knowledge Discovery for Engineering Systems Health Management
About this book
This volume presents state-of-the-art tools and techniques for automatically detecting, diagnosing, and predicting the effects of adverse events in an engineered system. It emphasizes the importance of these techniques in managing the intricate interactions within and between engineering systems to maintain a high degree of reliability. Reflecting the interdisciplinary nature of the field, the book explains how the fundamental algorithms and methods of both physics-based and data-driven approaches effectively address systems health management in application areas such as data centers, aircraft, and software systems.
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Yes, you can access Machine Learning and Knowledge Discovery for Engineering Systems Health Management by Ashok N. Srivastava, Jiawei Han, Ashok N. Srivastava,Jiawei Han in PDF and/or ePUB format, as well as other popular books in Computer Science & Data Mining. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Dedication
- Table of Contents
- List of Figures
- List of Tables
- Machine Learning and Knowledge Discovery for Engineering Systems Health Management
- Editors
- Contributors
- SECTION I Data-Driven Methods for Systems Health Management
- SECTION II Physics-Based Methods for Systems Health Management
- SECTION III Applications