Machine Learning and Knowledge Discovery for Engineering Systems Health Management
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- Synopsis
- 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.
- Copyright:
- 2012
Book Details
- Book Quality:
- Publisher Quality
- Book Size:
- 502 Pages
- ISBN-13:
- 9781000755718
- Related ISBNs:
- 9780429151309, 9781439841785
- Publisher:
- CRC Press
- Date of Addition:
- 09/19/23
- Copyrighted By:
- Taylor & Francis Group, LLC
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Technology
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Ashok N. Srivastava
- Edited by:
- Jiawei Han
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- by Ashok N. Srivastava
- by Jiawei Han
- in Nonfiction
- in Computers and Internet
- in Technology