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Parallel Evolutionary Approach to System Identification for process Fault Diagnosis

IFAC Proceedings Volumes 1998年第10期31卷 113-118页

作者： Teodor Marcu Paul M. Frank Gerhard Mercator Universität - GH-Duisburg FB9 FG Meβ- und Regelungstechnik Bismarckstraβe 81 (BB) D-47048 Duisburg GERMANY

The robustness issue in model-based diagnosis of process faults is addressed by means of parameter estimation. System identification is fonnulated as a problem of multiobjective optimization. The solution is based on parallel evolutionary algorithms of genetic type. process coefficients are directly identified by a generalized on-line procedure. A simplification of the stage of symptom evaluation results. Application to a laboratory process is included. A diagnosis subsystem is designed to detect incipient faults in the components of a three-tank system.

关键词： fault diagnosis robustness process parameter estimation multiobjective optimization parallel genetic algorithms migration models three-tank system

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A Multiobjective Evolutionary Approach to Pattern Recognition for Robust Diagnosis of process Faults

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IFAC Proceedings Volumes 1997年第18期30卷 1183-1188页

作者： Teodor Marcu Technical University of Iasi Department of Automatic Control and Industrial Informatics Horia Street No. 7-9 RO-6600 Iasi ROMANIA

The problem of robust model-based diagnosis of process faults is addressed in the framework of pattern recognition. Evolutionary algorithms of genetic type are used to solve both problems of feature selection and classifier design by means of multiobjective optimization. process coefficients are directly identified by an on-line procedure. Symptoms are then evaluated by a non-parametric classifier. Application to a laboratory process is included. A diagnosis subsystem is designed and implemented in real-time to detect incipient faults in the components of a three-tank system.

关键词： Fault diagnosis robustness pattern recognition process parameter estimation non-parametric classifiers multiobjective optimization genetic algorithms

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Development of a Computationally Efficient process Simulation for Laser Drilling

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IFAC Proceedings Volumes 1997年第1期30卷 405-410页

作者： Riccardo Cazzoli Luca Tomesani Doctor in Mechanical Engineering University of Bologna Italy Assistant Professor Department of Mechanical Construction Engineering University of Bologna Italy

The development of a process planning aid for laser drilling operations is here presented. The system is made of two parts: first, an analytical model determines the shape of the material removing zone. Then, the distribution in time of the cavity geometrical extent, which corresponds to the melting isothermal, is used as an input in a finite element analysis, allowing a simplified solution for bulk material properties prediction. This hybrid approach, avoiding time-consuming full-FEM analyses, allows both to evaluate the heat affected zone extent and to predict the residual stress field at the end of the process. The proposed model has been experimentally veryfied by means of laser drilling experiences on low-carbon ASTM A366 steel and polimetil-metacrilate PMMA, evaluating the shape of the performed holes.

关键词： Manufacturing processes process models process parameter estimation Finite element analysis Temperature distributions Mechanical properties

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IDENTIFICATION OF CROSS-DIRECTIONAL BEHAVIOR IN WEB PRODUCTION - TECHNIQUES AND EXPERIENCE

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CONTROL ENGINEERING PRACTICE 1995年第1期3卷 21-29页

作者： KJAER, AP HEATH, WP WELLSTEAD, PE Control Systems Centre UMIST P.O. Box 88 Manchester M601QD UK

The paper concerns the problem of parameter estimation in web manufacturing processes such as paper making, plastics extrusion and sheet coating processes. The key feature of such processes is that the manufactured web has width and length. In order to control or monitor the process, it is necessary to be able to identify the behaviour of the web width (cross-direction, in short CD) as well as the web length (machine-direction, in short MD). The aim of the paper is: (1) to review the identification techniques, (2) present a new method based upon basis function sets, (3) to illustrate typical results using industrial data.

关键词： IDENTIFICATION process parameter estimation PAPER INDUSTRY CROSS-DIRECTION BASIS FUNCTION MODELING

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APPLYING SYSTEM-IDENTIFICATION USING COMMERCIALLY AVAILABLE SOFTWARE AND HARDWARE

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CONTROL ENGINEERING PRACTICE 1995年第9期3卷 1247-1254页

作者： GODFREY, KR MCCORMACK, AS FLOWER, JO Department of Engineering University of Warwick Coventry CV4 7AL UK

System identification methods are now incorporated into several commercially available products, including two MATLAB Toolboxes and a number of frequency response analyzers. This paper reports on the accuracy obtained with the two MATLAB Toolboxes, when used with idealized noisy data, and also on their performance when used with real measurement data The performance of the curve-fitting algorithms on two commercial FFT analyzers is also compared using two applications for illustration. It is found that while the MATLAB Toolboxes perform almost equally well when used in the applications examined, the hardware analyzers are less comparable. One of the analyzers gives reliable results, but results from the other can prove quite difficult to interpret in the noise-free case, and can be erroneous when a comparatively small amount of noise is present on the measured output signal.

关键词： DISCRETE-TIME SYSTEMS FREQUENCY RESPONSE IDENTIFICATION PERTURBATION SIGNALS process parameter estimation SOFTWARE TOOLS SPECTRAL ANALYZERS TRANSFER FUNCTION

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LONG-TERM WEAR MONITORING AND WEAR PREDICTION BY MEANS OF WEAR MODELS

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CONTROL ENGINEERING PRACTICE 1995年第7期3卷 1011-1015页

作者： NEUENSCHWANDER, P MAURER, DE RYCHLICKI, L ULRICH AMMANN AG ENERGIESYSTCH-4900 LANGENTHALSWITZERLAND

A method for monitoring and predicting fouling of heat exchangers by means of long-term wear models is described. To monitor progressive fouling, the dependencies between the poles of a second-order transfer-function, the fouling and the operation point are examined. The estimation of the poles, together with a wear model, allows the long-term wear monitoring and the prediction of the remaining life-span. Poles are estimated with a generalised Fourier-series, from data calculated by numerical simulation and taking nonlinear behaviour into account. The device properties are taken from an exhaust gas to water heat exchanger.

关键词： DISTRIBUTED parameter SYSTEMS HEAT EXCHANGERS MONITORING process parameter estimation PREDICTION FREQUENCY DOMAIN MAINTENANCE WEAR FAILURE DETECTION

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Suboptimal Ellipsoidal Boundin for Simple Robust Control in Self-Tuning Robust Control

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IFAC Proceedings Volumes 1995年第13期28卷 339-344页

作者： P. Löhnberg J.N. Schukkink Control Laboratory Department of Electrical Engineering University of Twente P.O.B. 217 7500 AE Enschede The Netherlands

This paper considers ellipsoidal parameter bounding for self-tuning robust control of a sampled process using a controller which is performance robust with respect to this feasible process parameter set. This parameter set is obtained by an ellipsoidal parameter bounding method using unknown but bounded disturbance with known bounds. The ellipsoidal method used is based on a criterion specifically chosen for suboptimal robust control. A comparison with the minimum volume method demonstrates the advantage of this approach.

关键词： Adaptive control set theory robust control optimal estimation process parameter estimation

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Dynamic Heat Balance Model for Industrial Batch Reactors and its Applications

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IFAC Proceedings Volumes 1995年第9期28卷 369-374页

作者： K.S. Lee C.M. Jeong S. Yi J.S. Son S.C. Yoon Dept. Chem. Eng. Sogang Univ. Shinsoodong-1 121-742 Mapogu Seoul Korea Samsung Engineering Co. Ltd Cheil Industries Co.

A dynamic heat balance model which can be generically applicable to various industrial batch reactors has been proposed. The proposed model is composed by considering the detailed heat balance around the cooling jacket, which has been overlooked in the existing modeling approaches, as well as the heat balance for the reactor contents. In the proposed model, the local heat transfer coefficient in the reactor side is selected as a tuning parameter. The proposed model has been utilized to investigate reactor behaviors as well as to improve control methods for PBL and EPS polymerization reactors.

关键词： process model process control process parameter estimation

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A CASE-STUDY OF GRAY BOX IDENTIFICATION

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AUTOMATICA 1994年第2期30卷 307-318页

作者： BOHLIN, T [a]Automatic Control Royal Institute of Technology S10044 Stockholm Sweden

Experiment data from a strip steel rinsing process are used as a test case of Grey Box identification, i.e. of designing a nonlinear stochastic dynamic model for the process, when some but not all of the physical phenomena behind its behavior are known, a priori knowledge is uncertain, and the process is subject to unknown disturbances. The purpose of the study is twofold: (1) To find a working procedure for carrying out interactive system identification, in particular using the Grey Box identification tool named IdKit. The procedure comprises a sequence of hypothesis testings and parameter fittings, and involves the designer intimately in the interactive 'loop' to contribute 'engineering sense'. (2) To illuminate the choice between internal-noise, external-noise, or no-noise (deterministic) structures, in particular whether the result may be worth the effort of using optimal state-variable filtering.

关键词： MODELING SYSTEM IDENTIFICATION process parameter estimation NONLINEAR SYSTEMS STOCHASTIC SYSTEMS SOFTWARE TOOLS process MODEL STEEL INDUSTRY

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Integrated Advanced Control and Closed-Loop Real-Time Optimization of an Olefins Plant

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IFAC Proceedings Volumes 1994年第2期27卷 95-100页

作者： Genichi Emoto Yoshinori Ota Hitoshi Matsuo Morimasa Ogawa Douglas B. Raven Rosalyn F. Preston John S. Ayala Mitsubishi Kasei Corporation Mizushima Plant 3-10 Ushidori Kurashiki Okayama 712 Japan Dynamic Matrix Control Corporation P.O. Box 721648 Houston Texas 77272 USA

A closed-loop real-time optimization system integrated with a multivariable advanced control system is being implemented on an olefins plant. This application utilizes the latest process modeling, optimization and multivariable model predictive control technology. The project scope is comprehensive and plantwide. Significant economic benefits have been achieved by the advanced control system with further benefits expected when the optimization system is fully implemented in mid-1994.

关键词： Optimization Multivariable control systems Real-time computer systems Chemical industry process models process parameter estimation Control applications Predictive control

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