| 书目名称 | Diagnosis of Process Nonlinearities and Valve Stiction |
| 副标题 | Data Driven Approach |
| 编辑 | Shoukat M. A. A. Choudhury,Sirish L. Shah,Nina F. |
| 视频video | |
| 概述 | Analyses three important causes of performance deterioration common in process control and is of significant practical value in process plant troubleshooting.Includes supplementary material: |
| 丛书名称 | Advances in Industrial Control |
| 图书封面 |  |
| 描述 | were published in the series as the contributed volume, Process Control Performance Assessment: From Theory to Implementation with Andrzej Ordys, Damian Uduehi, and Michael Johnson as Editors (ISBN 978-1-84628-623-0, 2007). Along with this good progress in process controller assessment methods, researchers have also been investigating techniques to diagnose what is causing the process or control loop degradation. This requires the use of on-line data to identify faults via new diagnostic indicators of typical process problems. A significant focus of some of this research has been the issue of valve problems; a research direction that has been motivated by some industrial statistics that show up to 40% of control loops having performance degradation attributable to valve problems. Shoukat Choudhury, Sirish Shah, and Nina Thornhill have been very active in this research field for a number of years and have written a coherent and consistent presentation of their many research results as this monograph, Diagnosis of Process Nonlinearities and Valve Stiction. The Advances in Industrial Control series is pleased to welcome this new and substantial contribution to the process diagnostic l |
| 出版日期 | Book 2008 |
| 关键词 | Compression; Diagnose; Higher Order Statistics; Stiction; Valves; control; linearity; modeling; nonlinearity |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-540-79224-6 |
| isbn_softcover | 978-3-642-09810-9 |
| isbn_ebook | 978-3-540-79224-6Series ISSN 1430-9491 Series E-ISSN 2193-1577 |
| issn_series | 1430-9491 |
| copyright | Springer-Verlag Berlin Heidelberg 2008 |
发表于 2025-3-21 16:08:36
