Earlier investigations show that the results of hazard identification (HAZID) and analysis (e.g. HAZOP or FMEA) can effectively be used for knowledge-based diagnosis of complex process systems in their steady-state op...
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A novel structure identification procedure for discrete event systems described by Petri nets are proposed in this paper for model-based diagnostic purposes that utilize the notions and tools of process mining. The id...
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ISBN:
(纸本)9780889868632
A novel structure identification procedure for discrete event systems described by Petri nets are proposed in this paper for model-based diagnostic purposes that utilize the notions and tools of process mining. The identification of the structurally different discrete event system models describing a system in its normal and/or faulty modes was used for model-based isolation of the considered faulty modes. From the available process mining techniques that allow for the automatic construction of process models in Petri net form based on event logs, the genetic algorithm-based structure identification procedure has been found to be most capable of identifying the characteristic structural elements of the faulty models. The proposed procedures are illustrated on a simple example of an operated parking gate automaton with two faulty modes.
Hammerstein models are popular in describing nonlinear chemical processes. The general control strategy for Hammerstein models is the nonlinearity inversion method, which is unfortunately inapplicable to Hammerstein s...
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Atmospheric 3rd line diesel oil solidifying point is an important quality index, which cannot be measured in real time, in petroleum industry. Due to the great nonlinear characteristic of distillation columns, common ...
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Atmospheric 3rd line diesel oil solidifying point is an important quality index, which cannot be measured in real time, in petroleum industry. Due to the great nonlinear characteristic of distillation columns, common statistic methods, such as PCR and PLS, based on linear projection, are not able to estimate such a quality index effectively. In this paper, Adaptive kernel based Relevance Vector Machine (aRVM) is introduced to build a nonlinear soft sensor model. This soft sensor is then applied to a real solidifying point estimation experiment, with comparison to other nonlinear models such as KPLS, SVM and typical RVM. The result reveals that aRVM shows better performance than KPLS, SVM and models a much sparser representation than SVM and typical RVM.
The calibration curve of some metal tube rotameter has the characteristic of mutationIf the nonlinear least square method is still used as the method of linear correction, it will increase the measurement error and re...
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The calibration curve of some metal tube rotameter has the characteristic of mutationIf the nonlinear least square method is still used as the method of linear correction, it will increase the measurement error and reduce the measurement accuracyThis paper presents a Division Ordinary Least Squares Method, which can reduce errors and improve accuracyBy the algorithm comparative experiment it can be proved that the method can improve the measurement accuracy.
The velocity of solid particles in gas-solid two-phase flow is an important parameter, which can reflect the flow condition of gas-solid two-phase flow. However, it is difficult to be measured. The electrostatic senso...
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The velocity of solid particles in gas-solid two-phase flow is an important parameter, which can reflect the flow condition of gas-solid two-phase flow. However, it is difficult to be measured. The electrostatic sensor combined with correlation technique provides a proper solution to the velocity measurement of gas-solid two-phase flow. The digital signal controller dsPIC33F, which has the advantages of MCU and DSP, had been used in the design of embedded correlator. This correlator has the advantages of simple structure, good real-time performance, high reliability and low power consumption. Through the experiments on the belt electrostatic induction apparatus, this system can meet the requirement of the velocity measurement of gas-solid two-phase flow.
This paper is concerned with the stability analysis and controller design for a class of discrete-time Markovian jump systems subject to incomplete knowledge of transition probabilities. Different from the previous re...
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The solution to the problem of finding the reaction kinetic realization of a given system obeying the mass action law containing the minimal/maximal number of reactions and complexes is shown in this paper. The propos...
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ISBN:
(纸本)9783642149405
The solution to the problem of finding the reaction kinetic realization of a given system obeying the mass action law containing the minimal/maximal number of reactions and complexes is shown in this paper. The proposed methods are based on Mixed Integer Linear Programming where the mass action kinetics is encoded into the linear constraints. Although the problems are NP-hard in the current setting, the developed algorithms give a usable answer to some of the questions first raised in [1].
Nowadays, decision tree is widely used as one of the most powerful tools in data mining. However, to construct an optimization decision tree is a complete NP problem. So a new method about how to construct decision tr...
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Conductance sensor array has broadly value in the measurement of two-phase flow parameters. This paper proposes a new configuration of conductance sensors with six rectangular electrodes of same size from the pipe fac...
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