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Intelligent Prognostics for Engineering Systems with Machine Learning Techniques - Advanced Research in Reliability and System Assurance Engineering
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Intelligent Prognostics for Engineering Systems with Machine Learning Techniques - Advanced Research in Reliability and System Assurance Engineering
The text discusses the latest data-driven, physics-based, and hybrid approaches employed in each stage of industrial prognostics and reliability estimation. It will be a useful text for senior undergraduate, graduate students, and academic researchers in areas such as industrial and production engineering
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | December 19, 2024 |
| ISBN13 | 9781032562971 |
| Publishers | Taylor & Francis Ltd |
| Pages | 246 |
| Dimensions | 150 × 220 × 10 mm · 453 g |
| Language | English |
| Editor | Badhotiya, Gaurav Kumar (Graphic Era Uni, Uttarakhand, India.) |
| Editor | Ram, Mangey (Graphic Era Uni, India) |
| Editor | Soni, Gunjan (MNIT, Jaipur, India) |
| Editor | Yadav, Om Prakash (North Dakota State University, USA.) |
