This paper proposes a genetic-based algorithm for surface reconstruction of three-dimension (3-D) objects from a group of contours representing its section plane lines. The algorithm can optimize the triangulation of ...
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This paper proposes a genetic-based algorithm for surface reconstruction of three-dimension (3-D) objects from a group of contours representing its section plane lines. The algorithm can optimize the triangulation of the surface of 3-D objects with a multi-objective optimization function to meet the needs of a wide range of applications. Further, a new crossover operator for triangulation and a new 3-D quadrilateral mutation operator are also introduced.
The main motivation of the presented work is to realise a prototype of the CAD tool that supports the whole life cycle of the diagnostic system development process. In the proposed approach, the fault trees are automa...
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The effect of the type and quality of process models applied for fault detection and isolation is investigated in this paper. It is shown that the level of details and the modelled processes within the applied grey bo...
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The specification process for advanced industrial process control systems should be conducted by means of a methodology that takes into consideration the specification of control functions and the system architecture....
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The specification process for advanced industrial process control systems should be conducted by means of a methodology that takes into consideration the specification of control functions and the system architecture. For the domain of industrial process control by PLCs, we have implemented the automation of the specification process within a pragmatic low-cost and easy to use CASE environment, comprising commercial computer tools extended by a dedicated software. Such an environment makes possible domain-oriented non-redundant data entry, automatic data expansion and transfer into the CASE tool repository, and remains an advantage of CASE tool generic functions.
A fault detection and isolation scheme for a brushless DC motor driving a mechanical actuation system is presented. First, a detailed mathematical model of the drive is derived. The residual generator is based on pari...
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A fault detection and isolation scheme for a brushless DC motor driving a mechanical actuation system is presented. First, a detailed mathematical model of the drive is derived. The residual generator is based on parity relations while the fault isolation part is implemented by means of the transferable belief model. The problem of distinguishing between faults with the same fault signatures is addressed. It is shown that additional improvements in terms of resolution can be achieved by employing parameter estimation. The proposed FDI scheme is tested on the actual drive under various faults. The achieved performance features the highest resolution, diagnostic stability and accuracy.
This paper discusses issues of model adaptation in a Wiener model based nonlinear predictive control (WNPC). WNPC is an extension of state-space generalized predictive control with a Wiener model. It combines the adva...
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This paper discusses issues of model adaptation in a Wiener model based nonlinear predictive control (WNPC). WNPC is an extension of state-space generalized predictive control with a Wiener model. It combines the advantages of predictive control with the ability to control highly nonlinear processes, while retaining a moderate level of computational demand. It is aimed at a class of nonlinear processes that can be described with a Wiener structure. Model adaptation is required when the process is affected by nonmeasurable disturbances that severely affect the nonlinear characteristics of the system. It is shown that better disturbance rejection performance can be achieved at the cost of an increased computational demand, and that robust tuning of the estimator is a difficult problem. The method is evaluated with a pH neutralisation process case study.
The problem addressed in this paper is as follows. Consider a nonlinear discrete time system with parameters, which can be a priori classified into two groups: constant parameters and time varying ones. It is also ass...
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The problem addressed in this paper is as follows. Consider a nonlinear discrete time system with parameters, which can be a priori classified into two groups: constant parameters and time varying ones. It is also assumed that loose attributes like "slow" or "fast" express the only prior information concerning the dynamics of varying parameters. The question of interest is how to estimate the constant parameters of the process (on the basis of a recorded batch of input and output data) so that possible alterations of the parameters that are expected to vary with time are taken into account. To deal with this kind of nonlinear fixed-interval smoothing problem a two-level procedure based on rectangular window technique and Gauss-Newton method is presented. All the computations are performed offline. The procedure is applicable in a pre-processing stage of adaptive parameter estimation where the parameters that are evidently time invariant are identified from past records. Thus the number of parameters that have to be tracked (i.e. estimated) on-line is reduced. The efficiency of the scheme is illustrated on a simulated industrial process.
The main motivation of the presented work is to realise a prototype of the CAD tool that supports the whole life cycle of the diagnostic system development process. In the proposed approach, the fault trees are automa...
The main motivation of the presented work is to realise a prototype of the CAD tool that supports the whole life cycle of the diagnostic system development process. In the proposed approach, the fault trees are automatically derived from component models. The automatic synthesis incorporates the feedback control loop structure. Fault trees are then transformed into diagnostic rules. The implemented CAD tool allows for rule processing by using the Transferable Belief Model (TBM). The limitations of the component-based synthesis of fault trees are discussed.
We propose a multithreaded Java microcontroller (called Komodo microcontroller) with a new hardware event handling mechanism that allows handling of simultaneous overlapping events with hard real-time requirements. Re...
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We propose a multithreaded Java microcontroller (called Komodo microcontroller) with a new hardware event handling mechanism that allows handling of simultaneous overlapping events with hard real-time requirements. Real-time Java threads are used as interrupt service threads (ISTs) instead of interrupt service routines (ISRs). Our proposed Komodo microcontroller supports multiple ISTs with zero-cycle context switching overhead. We evaluate the basic architectural attributes using real-time event parameters of an autonomous guided vehicle. When calculating the maximum vehicle speed without violating the real-time constraints, ISTs dominate ISRs by a speed increase of 28%.
A toolbox for model-based fault detection and isolation (FDI) has been developed in the MATLAB/SIMULINK environment. It includes methods relying on analytical or qualitative models of the supervised process. A demonst...
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