Artificial Intelligence techniques applied as estimator in chemical process systems - A literature survey

被引：104
作者：
Ali, Jarinah Mohd [1 ]
Hussain, M. A. [1 ]
Tade, Moses O. [2 ]
Zhang, Jie [3 ]
机构：
[1] Univ Malaya, Fac Engn, Dept Chem Engn, Kuala Lumpur 50603, Malaysia
[2] Curtin Univ Technol, Fac Sci & Engn, Dept Chem Engn, Perth, WA 6845, Australia
[3] Newcastle Univ, Sch Chem Engn & Adv, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England
来源：
EXPERT SYSTEMS WITH APPLICATIONS | 2015年 / 42卷 / 14期
关键词：
Artificial Intelligence; Estimator; Soft-sensor; Chemical process systems; BATCH POLYMERIZATION REACTORS; NEURAL-NETWORK MODELS; ANN-BASED ESTIMATOR; DISTILLATION COLUMN; STATE ESTIMATION; GENETIC ALGORITHM; SOFT SENSORS; EXPERT-SYSTEM; FUZZY-LOGIC; INFERENTIAL ESTIMATION;
D O I：
10.1016/j.eswa.2015.03.023
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The versatility of Artificial Intelligence (AI) in process systems is not restricted to modelling and control,only, but also as estimators to estimate the unmeasured parameters as an alternative to the conventional observers and hardware sensors. These estimators, also known as software sensors have been successfully applied in many chemical process systems such as reactors, distillation columns, and heat exchanger due to their robustness, simple formulation, adaptation capabilities and minimum modelling requirements for the design. However, the various types of AI methods available make it difficult to decide on the most suitable algorithm to be applied for any particular system. Hence, in this paper, we provide a broad literature survey of several AI algorithms implemented as estimators in chemical systems together with their advantages, limitations, practical implications and comparisons between one another to guide researchers in selecting and designing the AI-based estimators. Future research suggestions and directions in improvising and extending the usage of these estimators in various chemical operating units are also presented. (C) 2015 Elsevier Ltd. All rights reserved,
引用
收藏
页码：5915 / 5931
页数：17
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