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Data-driven Methods for Fault Detection and Diagnosis in Chemical Processes - Advances in Industrial Control Evan L. Russell Softcover reprint of the original 1st ed. 2000 edition
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Data-driven Methods for Fault Detection and Diagnosis in Chemical Processes - Advances in Industrial Control
Evan L. Russell
Process-monitoring techniques that have been most effective in practice are based on models constructed almost entirely from process data. The goal of this book is to present the theoretical background and practical techniques for data-driven process monitoring.
192 pages, 41 black & white illustrations, biography
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2000. gada 25. februāris |
| ISBN13 | 9781852332587 |
| Izdevēji | Springer London Ltd |
| Lapas | 192 |
| Izmēri | 155 × 235 × 12 mm · 330 g |
| Valoda | Angļu |