Machine Learning and Knowledge Discovery for Engineering Systems Health Management
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.
1100108841
Machine Learning and Knowledge Discovery for Engineering Systems Health Management
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.
69.99
In Stock
5
1
Machine Learning and Knowledge Discovery for Engineering Systems Health Management
502
Machine Learning and Knowledge Discovery for Engineering Systems Health Management
502
69.99
In Stock
Product Details
| ISBN-13: | 9781000755718 |
|---|---|
| Publisher: | CRC Press |
| Publication date: | 04/19/2016 |
| Series: | Chapman & Hall/CRC Data Mining and Knowledge Discovery Series |
| Sold by: | Barnes & Noble |
| Format: | eBook |
| Pages: | 502 |
| File size: | 5 MB |
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