Intelligent Prognostics for Engineering Systems with Machine Learning Techniques
(Bog, Paperback / softback, Engelsk)
Forlag:
Taylor & Francis Ltd
- Type: Bog
- Format: Paperback / softback
-
Sprog:
Engelsk
- ISBN-13: 9781032562971
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Beskrivelse
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
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Alle detaljer
| Forlag | Taylor & Francis Ltd |
| Type | Bog |
| Format | Paperback / softback |
| Sprog | Engelsk |
| Udgivelsesdato | 19-12-2024 |
| Første udgivelsesår | 2024 |
| Serie | Advanced Research in Reliability and System Assurance Engineering |
| Illustrationer | 64 Tables, black and white; 122 Line drawings, black and white; 11 Halftones, black and white; 112 Illustrations, color; 21 Illustrations, black and white |
| Fagredaktør | Gunjan (MNIT Soni, Om Prakash (North Dakota State University Yadav, Gaurav Kumar (Graphic Era Uni Badhotiya, Mangey (Graphic Era Uni Ram |
| Originalsprog | United Kingdom |
| Sideantal | 246 |
| Indbinding | Paperback / softback |
| Forlag | Taylor & Francis Ltd |
| Sideoplysninger | 246 pages, 64 Tables, black and white; 122 Line drawings, black and white; 11 Halftones, black and w |
| Mål | 234 x 156 |
| ISBN-13 / EAN-13 | 9781032562971 |