In spite of considerable advances regarding techniques for fault detection and diagnosis (FDD) their transformation into workable applications is still considered as an open research issue. One of the scopes of this p...
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In spite of considerable advances regarding techniques for fault detection and diagnosis (FDD) their transformation into workable applications is still considered as an open research issue. One of the scopes of this paper is to argue the potentials of prototyping engineering design of FDD systems. In that light the concept of the simulation environment is presented which serves to support designer in realization of particular stages of the design cycle. As an illustration, a simulated system for fault detection and diagnosis of a DC motor is presented.
Grey box modeling is a widely used term, which presently reflects that both a priori and experimental knowledge is being incorporated into the model building process. A brief investigation into various uses of grey bo...
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Grey box modeling is a widely used term, which presently reflects that both a priori and experimental knowledge is being incorporated into the model building process. A brief investigation into various uses of grey box modeling approaches reveals that they mainly differ with respect to the required model accuracy. The goal of the model application also has to be considered in the model building, since it constrains the necessary accuracy required by the model. In this paper these two viewpoints are combined thus leading to a proposed new definition of grey box modeling.
The aim of this contribution is to present a model-based system for Kappa control in batch pulp cooking. Kappa is one of the parameters that reflect quality of the pulp. In order to keep the quality uniform, Kappa val...
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The aim of this contribution is to present a model-based system for Kappa control in batch pulp cooking. Kappa is one of the parameters that reflect quality of the pulp. In order to keep the quality uniform, Kappa value at the end of the batch should dissipate as little as possible. Target Kappa is controlled (among others) by careful selection of cooking times which depend on charging and cooking conditions. Since appropriate industrial sensors for online Kappa measurements in batch digesters are still not available, current Kappa values have to be "sensed" by means of the mathematical model. In this paper an extended Vroom's model is adopted for online Kappa prediction and adaptive control. A model represents the essential part of the system for digester control. Provided uniform charging conditions are guaranteed, the computercontrol system is shown to be able to give on average better results than manual control even if performed by experienced operators.< >
Design of a process control laboratory requires a detailed definition of the purpose and form of laboratory process equipment, the structure of the control system and the system of flexible signal connections. This pa...
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Design of a process control laboratory requires a detailed definition of the purpose and form of laboratory process equipment, the structure of the control system and the system of flexible signal connections. This paper describes the main purposes of process control laboratory, the essential criteria which have influenced the choice of laboratory process equipment, the design of laboratory process control system and the guidelines for designing the signal connections between the laboratory process equipment and its control system.
The parametnzation and identification of vehicle vibrating structures are discussed in this paper. The determination of physical parameters from the abstract parameters that represent free coefficients in a transfer f...
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The parametnzation and identification of vehicle vibrating structures are discussed in this paper. The determination of physical parameters from the abstract parameters that represent free coefficients in a transfer function or state space model of the vehicle is investigated for the axle subsystems. The situation when some of the coefficients are known a priori, and also there are certain dependences, possibly nonlinear, among some physical parameters is investigated. Related to this grey box problem, an identification scheme is proposed to obtain the physical parameters from the unconstrained estimates of the abstract parameters of the axle models.
A model conservative learning method is proposed in this paper which is able to transfer knowledge between different qualitative differential equation models of the same szstem. This is an essentialstep of generating ...
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A model conservative learning method is proposed in this paper which is able to transfer knowledge between different qualitative differential equation models of the same szstem. This is an essentialstep of generating operating procedures when multiple models with overlapping validity regions must be used to describe the controlled szstem over a wide operating range. The method is based on our previous results on introducing learning into Extended Qualitative Simulation by Bayesian identification and output prediction.
The presence of colored tokens and time opens the possibility to combine high level Petri nets for describing operating procedures and constraint type qualitative models describing the model of the system over a wide ...
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The presence of colored tokens and time opens the possibility to combine high level Petri nets for describing operating procedures and constraint type qualitative models describing the model of the system over a wide operating range. Places can be associated to state variables and the color of the tokens can be related to the qualitative value of the variable. Are expressions correspond to qualitative model equations. A suitably modified version of the order of magnitude qualitative value representation form is used together with a scaling of each variable to have the same uniform qualitative range. Operations are performed on the interval arithmetic basis and only the result is transformed back to the uniform order of magnitude quantity space. This computation method ensures advantageous algebraic properties. Based on the above idea a novel verification method is proposed in this paper for testing operating procedures against a qualitative model of the system using a high level or colored Petri net representation of the procedure and the model together.
In the paper a simulation environment for evaluation of knowledge based fault diagnostic systems is presented. The contribution deals with the concept of the environment that provides an integration of qualitative and...
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In the paper a simulation environment for evaluation of knowledge based fault diagnostic systems is presented. The contribution deals with the concept of the environment that provides an integration of qualitative and quantitative models. This concept is presented on a simulated water-column process controlled by feedback. The simulation environment is used to evaluate the potentials of Multilevel Flow Modelling (MFM) approach to system diagnosis. The environment is realized within the real-time expert system tool G2.
The objective of this paper is to present the current activities, jointly carried out by DIST and LAN, in the development of a computational architecture for the control of advanced robot systems. In particular, the a...
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The objective of this paper is to present the current activities, jointly carried out by DIST and LAN, in the development of a computational architecture for the control of advanced robot systems. In particular, the activity is focused on marine and underwater applications. The problem of the control of advanced robot systems is discussed. A Lyapunov based approach to the synthesis of the control laws in task space domain is presented. Moreover, experimental setups implementing the proposed control scheme are briefly described.< >
A least squares identification method is studied that estimates a finite number of expansion coefficients in the series expansion of a transfer function, where the expansion is in terms of generalized basis functions....
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A least squares identification method is studied that estimates a finite number of expansion coefficients in the series expansion of a transfer function, where the expansion is in terms of generalized basis functions. The basis functions are orthogonal in H/sub 2/ and generalize the pulse, Laguerre and Kautz (1954) bases. The construction of the basis is considered and bias and variance expressions of the identification algorithm are discussed. The basis induces a new transformation (Hambo transform) of signals and systems, for which state space expressions are derived.< >
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