检索结果-内蒙古大学图书馆

2007 AIChE Annual Meeting

作者： Venkatasubramanian, Venkat Laboratory for Intelligent Process Systems School of Chemical Engineering Purdue University West Lafayette IN 47906 United States

ISBN: (纸本)9780816910229

The compelling drivers for the pharmaceutical industry are speed to market and getting the manufacturing process right the first time. However, getting there is a complex challenge, particularly with respect to information management. Getting there involves going through the following stages after the viability of a newly discovered molecule is established: laboratory scale, pilot plant scale and commercial scale manufacturing. During this a staggering amount of information of different types, ranging from raw data to lab reports to sophisticated math models, is shared and revised by computational tools in each stage. Subsequent to process development, technical specifications and reports must be developed to satisfy regulatory requirements. However, due to the Tower of Babel like incompatibility among such diverse types of data, information, and knowledge, an appropriate automated decision support environment to address these needs is very much lacking. Additionally, at present most of the information and knowledge are generated and processed directly by humans. With the onset of information and knowledge explosion, it is clear that we need intelligent software systems to effectively manage and access information for efficient decision making. Proper informatics support to process development is crucial in order to achieve speed to market, and getting the process right the first time. To date the industrial response to all these challenges, however, has been sub-optimal. Even with rapid progress on information integration and sharing in business functions (such as ERP systems) and on plant floor (such as MES systems), the area of process/product development has been largely neglected. Several individual islands of automation exist, but a comprehensive, integrated decision support environment that integrates these islands does not exist. Therefore, practitioners must make do with a limited computer-based assistance to acquire, manage, analyze and interpret complex p

关键词： Decision making

来源：评论

学校读者我要写书评

暂无评论

Soft sensor for predicting crude oil distillation side streams using evolving takagi-sugeno fuzzy models

Soft sensor for predicting crude oil distillation side strea...

引用

IEEE International Conference on systems, Man and Cybernetics

作者： Jose J. Macias-Hernandez Plamen Angelov Xiaowei Zhou Process Engineering Department CEPSA (Tenerife Refinery) and Chem. Engineering Department University of La Laguna Tenerife Spain Intelligent Systems Research Laboratory Department of Communication Systems Lancaster University Lancaster UK

Prediction of the properties of the crude oil distillation side streams based on statistical methods and laboratory-based analysis has been around for decades. However, there are still many problems with the existing estimators that require a development of new techniques especially for an on-line analysis of the quality of the distillation process. The nature of non-linear characteristics of the refinery process, the variety of properties to measure and control and the narrow window that normally refinery processes operates in are only some of the problems that a prediction technique should deal with in order to be useful for a practical application. There are many successful application cases that refinery units use real plant data to calibrate models. They can be used to predict quality properties of the gas oil, naphtha, kerosene and other products of a crude oil distillation tower. Some of these are distillation end points and cold properties (freeze, cloud). However, it is difficult to identify, control or compensate the dynamic process behaviour and the errors from instrumentation for an online model prediction.

关键词： Petroleum Predictive models Poles and towers Laboratories Takagi-Sugeno model Economic forecasting Monitoring Refining Temperature measurement Statistical analysis

来源：评论

学校读者我要写书评

暂无评论

An Agent Matching Architecture for Bilateral Contacts in Multi Agent Markets

An Agent Matching Architecture for Bilateral Contacts in Mul...

引用

IEEE International Conference on intelligent Computer Communication and processing (ICCP)

作者： Hamed Kebriaei Vahid Johari Majd Ashkan Rahimi-Kian Intelligent Control Systems Lab. Electrical Engineering Dept. Tarbiat Modares University Tehran Iran Intelligent Control Systems Laboratory Electrical Engineering Department Tarbiat Moalem University Tehran Iran Control and Intelligent Process Center of Excellence Electrical Engineering Department University of Tehran Tehran Tehran Iran

In this paper, an agent matching architecture for bilateral contracts of a multi agent market is proposed. The bilateral market contains a number of sellers and buyers who face opponents for negotiation and signing bilateral contracts. Each agent has a hierarchical representation of trading commodity attributes, where based on that it will create a tree structure of attributes. Using this structure, we apply a modified version of fuzzy similarity algorithm to compute similarity between each pair of buyer and seller agents' trees. Then, we use game theory and the concept of Stackelberg equilibrium to assess the matchmaking among the seller and buyer agents. Agents who lose contract or want to sign a new contract have a chance to restart the procedure. Through a case study for bilateral contracts in energy market, the applicability of our agent matching architecture is illustrated.

关键词： Contracts Game theory Tree data structures Decision making Contacts intelligent control intelligent agent Control systems Supply and demand Fuzzy sets

来源：评论

学校读者我要写书评

暂无评论

A novel approach to proactive human-robot cooperation

A novel approach to proactive human-robot cooperation

引用

IEEE International Workshop on Robot and Human Communication (ROMAN)

作者： O.C. Schrempf U.D. Hanebeck A.J. Schmid H. Worn Intelligent Sensor-Actuator-Systems Laboratory Institute of Computer Science and Engineering Universität Karlsruhe Karlsruhe Germany Institute for Process Control and Robotics Universität Karlsruhe Karlsruhe Germany

This paper introduces the concept of proactive execution of robot tasks in the context of human-robot cooperation with uncertain knowledge of the human's intentions. We present a system architecture that defines the necessary modules of the robot and their interactions with each other. The two key modules are the intention recognition that determines the human user's intentions and the planner that executes the appropriate tasks based on those intentions. We show how planning conflicts due to the uncertainty of the intention information are resolved by proactive execution of the corresponding task that optimally reduces the system's uncertainly. Finally, we present an algorithm for selecting this task and suggest a benchmark scenario.

关键词： Robot sensing systems intelligent robots Uncertainty Application software Humanoid robots Human robot interaction Bayesian methods intelligent sensors Laboratories Computer science

来源：评论

学校读者我要写书评

暂无评论

Model-reduction by simultaneous determination of network topology and parameters: Application to modules in biochemical networks

Model-reduction by simultaneous determination of network top...

引用

05AIChE: 2005 AIChE Annual Meeting and Fall Showcase

作者： Maurya, Mano Ram Bornheimer, Scott J. Venkatasubramanian, Venkat Subramaniam, Shankar Laboratory for Bioinformatics and Computational Biology San Diego Supercomputer Center 9500 Oilman Dr San Diego CA 92093 United States Departments of Chemistry and Biochemistry and Cellular and Molecular Medicine 9500 Oilman Dr San Diego CA 92093 United States Department of Bioengineering University of California San Diego 9500 Oilman Dr San Diego CA 92093 United States Laboratory for Intelligent Process Systems School of Chemical Engineering Purdue University West Lafayette IN 47907 United States

Development and analysis of detailed quantitative models of biological systems is computationally prohibitive due to inherent complexity and nonlinearities. Even if a mathematical model can be developed, lack of large-scale good-quality data makes accurate estimation of a large number of parameters impossible. Hence, reduced-order models (ROMs) consisting of essential biochemical mechanisms are more suitable for computational analysis and for studying important systemic functions. In this paper, a mixed-integer nonlinear-optimization-based approach to model-reduction is presented in which, starting with a detailed biochemical model with concomitant computational details (reaction network and mathematical description), the structure and the parameters of a reduced-order model are determined simultaneously. A genetic-algorithm is used to solve the optimization problem. The methodology is demonstrated by developing a ROM for the GTPase cycle module of M1 muscarinic acetylcholine receptor, Gq, and regulator of G-protein signaling 4 (RGS4, a GTPase activating protein or GAP) starting from a detailed model of 48 reactions. The resulting ROM has only 14 reactions, and the ROM fits experimental data well and predicts 4 limiting signaling regimes corresponding to the extremes of receptor and GAP concentration. The method is about an order of magnitude faster than a previous method for reduced-order modeling that used a multiparametric variability analysis approach.

关键词： Living systems studies

来源：评论

学校读者我要写书评

暂无评论

Fault diagnosis by qualitative trend analysis of the principal components: Prospects and some new results 5

Fault diagnosis by qualitative trend analysis of the princip...

引用

5th IFAC Symposium on Fault Detection, Supervision and Safety of Technical processes, Safeprocess 2003

作者： Ram Maurya, Mano Rengaswamy, Raghunathan Venkatasubramanian, Venkat Laboratory for Intelligent Process Systems School of Chemical Engineering Purdue University West LafayetteIN47907 United States Department of Chemical Engineering Clarkson University PotsdamNY13699-5705 United States

Qualitative trend analysis (QTA) is a data-driven semi-quantitative technique that has been used for process monitoring and fault detection and diagnosis (FDD). Though QTA provides quick and accurate diagnosis - the increase in computational complexity of QTA with the increase in the number of sensors used for diagnosis - may prohibit its real-time application for very large-scale plants. In most of the chemical plants, the measurements are highly redundant and this redundancy can be exploited by performing principal component analysis (PCA) on the measured data. In this paper, we present a PCA-QTA technique for fault diagnosis (FD) in large-scale plants. Essentially, QTA is applied on the principal components rather than on the sensor data. The proposed approach is tested on the Tennessee Eastman (TE) process. The reduction in computational complexity in trend-extraction is about 40%. This reduction in computational complexity is expected to increase considerably for larger processes. © 2003 International Federation of Automatic Control.

关键词： Principal component analysis

来源：评论

学校读者我要写书评

暂无评论

Fault Diagnosis by Qualitative Trend Analysis of the Principal Components: Prospects and Some New Results

引用

IFAC Proceedings Volumes 2003年第5期36卷 783-788页

作者： Mano Ram Maurya Raghunathan Rengaswamy Venkat Venkatasubramanian Laboratory for Intelligent Process Systems School of Chemical Engineering Purdue University West Lafayette IN 47907 USA. Department of Chemical Engineering Clarkson University Potsdam NY 13699-5705 USA.

关键词： Qualitative Trend Analysis Dimensionality Reduction Principal Component Analysis Fault Diagnosis Computational Complexity

来源：评论

学校读者我要写书评

暂无评论

process Fault Detection and Diagnosis: Past, Present and Future

引用

IFAC Proceedings Volumes 2001年第27期34卷 1-13页

作者： Venkat Venkatasubramanian Laboratory for Intelligent Process Systems School of Chemical Engineering Purdue University West Lafayette IN 47907 USA.

One of the most important challenges facing control system engineers is the design and implementation of intelligent control systems that can assist operators to make supervisory control decisions such as abnormal situations management (ASM), start up and shut down, controller performance assessment and so on. Operator failure to exercise the appropriate supervisory control decisions often have an adverse effect on product quality, process safety, occupational health and environmental impact. The economic impact of such abnormal situations is enormous; about $20 billion/year in losses in the petrochemical industries alone in the US. Furthermore, process safety, occupational health and environmental hazards are ever increasing in importance in response to heightening public concern and the resultant tightening of regulations. Thus, there exists considerable incentive in developing intelligent control systems that can provide automated operator assistance for supervisory control situations for complex process plants. People in the process industries view this as the next major challenge in control systems research and application. The automation of process fault detection and diagnosis forms the first step in automating supervisory control and ASM. In this paper, I present an overview of the various approaches to fault diagnosis, challenges we face and encouraging emerging trends. The recent progress has promising implications on the use of intelligent systems for inherently safer design, operator training, abnormal situation management, process hazards analysis and optimal process operations.

关键词： Fault Diagnosis Quantitative Model-Based Approach process History-Based Approach Qualitative models Abnormal Situation Management

来源：评论

学校读者我要写书评

暂无评论

Offline Safety Analysis for Online Fault Diagnosis

引用

IFAC Proceedings Volumes 2001年第27期34卷 179-184页

作者： Sourabh Dash Venkat Venkatasubramanian Laboratory for Intelligent Process Systems School of Chemical Engineering Purdue University W. Lafayette IN -47907 - 1283 U.S.A

process Hazards Analysis and Abnormal Situation Management are important tasks aimed at plant safety in chemical process industries. PHA deals with the off-line safety analysis involving identification, assessment and mitigation of hazards. ASM, on the other hand, concerns on-line plant malfunctions. The inherent objectives in both of them are similar i.e., to identify hazards, to avoid/mitigate them and plan for emergencies. PHA results are a valuable source of information regarding cause/consequence information, safeguards and other operability issues, from which ASM can potentially benefit. To utilize this already existing knowledge about the plant, an integrated framework combining these two methods is proposed here. In order to manage the large number of results, a hierarchical representation of the plant is developed. The application of the framework is illustrated using an industrial case study.

关键词： Abnormal Situation Management process Hazards Analysis Fault diagnosis HAZOP Hierarchical Representation

来源：评论

学校读者我要写书评

暂无评论

Systematic Development and Application of Digraphs for process Diagnosis and Hazards Analysis

引用

IFAC Proceedings Volumes 2001年第27期34卷 327-332页

Many researchers have proposed digraph (DG) based techniques for safety analysis and fault diagnosis in the recent past. There are two main drawbacks in the applications of DG to large flowsheets. First, digraph generation is error prone, time consuming and second, a large number of spurious solutions are generated due to the qualitative nature of the analysis. Though Mylaraswamy et al. (1994) have proposed an algorithm for automatic generation of digraphs, little attention has been given to designing correct methodologies for DG analysis and their application to large problems. The multiple objectives of this paper are- (i) discussion on algorithms for DG generation, (ii) design of suitable methodologies for DG analysis and demonstration of their correctness, (iii) development of guidelines for eliminating spurious solutions, (iv) discussion on incipient fault detection and diagnosis through signed digraph (SDG) and (v) demonstration of SDG results on a CSTR case study.

关键词： Qualitative Analysis SDG Fault Diagnosis Hazards Analysis

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：