Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control

個数：

電子版価格
¥39,565

電子版あり

Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control

Venkateswarlu, Ch./ Karri, Rama Rao

ウェブストア価格 ¥48,048（本体¥43,680）
Elsevier - Health Sciences Division（2022/02発売）
外貨定価 US$ 210.00
ポイント 436pt

提携先の海外書籍取次会社に在庫がございます。通常3週間で発送いたします。
【重要ご説明事項】
1. 納期遅延や、ご入手不能となる場合が若干ございます。
2. 複数冊ご注文の場合は、ご注文数量が揃ってからまとめて発送いたします。
3. 美品のご指定は承りかねます。

●3Dセキュア導入とクレジットカードによるお支払いについて

【入荷遅延について】
世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。

◆画像の表紙や帯等は実物とは異なる場合があります。

◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
また、洋書販売価格は、ご注文確定時点での日本円価格となります。
ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。

製本 Paperback:紙装版/ペーパーバック版／ページ数 366 p.
言語 ENG
商品コード 9780323858786
DDC分類 629.8312

Full Description

Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control presents various mechanistic model based state estimators and data-driven model based state estimators with a special emphasis on their development and applications to process monitoring, fault diagnosis and control. The design and analysis of different state estimators are highlighted with a number of applications and case studies concerning to various real chemical and biochemical processes. The book starts with the introduction of basic concepts, extending to classical methods and successively leading to advances in this field.

Design and implementation of various classical and advanced state estimation methods to solve a wide variety of problems makes this book immensely useful for the audience working in different disciplines in academics, research and industry in areas concerning to process monitoring, fault diagnosis, control and related disciplines.

Part I - BASIC DETAILS AND STATE ESTIMATION ALGORITHMS
1. Optimal state estimation and its importance in process systems engineering
2. Stochastic process and filtering theory
3. Linear filtering and observation techniques with examples
4. Mechanistic model-based nonlinear filtering and observation techniques for state estimation
5. Data-driven modelling techniques for state estimation
6. Optimal sensor configuration methods for state estimation

Part II - APPLICATION OF MECHANISTIC MODEL-BASED NONLINEAR FILTERING AND OBSERVATION TECHNIQUES FOR STATE ESTIMATION IN CHEMICAL PROCESSES
7. Optimal state estimation in multicomponent batch distillation
8. Optimal state estimation in multicomponent reactive batch distillation with optimal sensor configuration
9. Optimal state estimation in complex nonlinear dynamical systems
10. Optimal state estimation of a kraft pulping digester 
11. Optimal State Estimation of a High Dimensional Fluid Catalytic Cracking Unit
12. Optimal state estimation of continuous distillation column with optimal sensor configuration
13. Optimal state and parameter estimation in nonlinear CSTR

Part III - APPLICATION OF QUANTITATIVE MODEL-BASED NONLINEAR FILTERING AND OBSERVATION TECHNIQUES FOR STATE ESTIMATION IN BIOCHEMICAL PROCESSES
14. Optimal state and parameter estimation in the nonlinear batch beer fermentation process
15. Optimal state and parameter estimation for online optimization of an uncertain biochemical reactor

Part IV - APPLICATION OF DATA-DRIVEN MODEL-BASED TECHNIQUES FOR STATE ESTIMATION IN CHEMICAL PROCESSES
16. Data-driven methods for state estimation in multi-component batch distillation
17. Hybrid schemes for state estimation
18. Future development, prospective and challenges in the application of soft sensors in industrial applications