| 书目名称 | Soft Sensors for Monitoring and Control of Industrial Processes |
| 编辑 | Luigi Fortuna,Salvatore Graziani,Maria G. Xibilia |
| 视频video | |
| 概述 | Shows the reader how to make the most of routine data gathering and storage to provide a valuable back-up and double check for hardware sensors and an alternative where these are not available.Integra |
| 丛书名称 | Advances in Industrial Control |
| 图书封面 |  |
| 描述 | focussed on the key steps in soft sensor design: data selection; model structure selection and model validation, respectively. Extensions to the basic steps of soft sensor design, namely soft sensor performance enhancement and the modifications needed to facilitate different industrial process applications follow in Chapter 7 and 8, respectively. Widening the applications range and role of soft sensors to fault detection and sensor validation configurations is dealt with in Chapter 9. A great strength of Soft Sensors for Monitoring and Control of Industrial Processes is the use, throughout the text, of a set of industrial case studies to demonstrate the successes and drawbacks of the different methods used to create soft sensor models. A number of different methods may be used in each separate step of the soft sensor design process and the industrial case studies are often used to provide explicit comparisons of the performance of these methods. The industrial control and process engineer will find these comparison exercises invaluable illustrations of the sort of results that might be found in industrial applications. The monograph also highlights the importance of using knowledge |
| 出版日期 | Book 2007 |
| 关键词 | Control Applications; Data Mining; Fuzzy; Fuzzy Logic; Nonl; Process Control; Process Engineering; Virtual |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-84628-480-9 |
| isbn_softcover | 978-1-84996-608-5 |
| isbn_ebook | 978-1-84628-480-9Series ISSN 1430-9491 Series E-ISSN 2193-1577 |
| issn_series | 1430-9491 |
| copyright | Springer-Verlag London 2007 |
发表于 2025-3-21 18:00:28
