In order to improve the function of soft sensor to conduct variable selection, fault detection and model structure identification in the case of faulty state, a design method of new soft sensor is studied though the v...
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In order to improve the function of soft sensor to conduct variable selection, fault detection and model structure identification in the case of faulty state, a design method of new soft sensor is studied though the variable selection algorithm. A non-stationary time serial is introduced to describe the process output not being reflected by sensor variables and to detect whether the process enters the faulty state. A non-negative garrote method is adopted to identify the model structure and a modeling method for new soft sensors is presented. The obtained model can be used for both prediction, and detection of structural model change and the emergence of disturbance. Compared with the ordinary soft sensor based on partial least square algorithm, the advantages of the proposed method are demonstrated by a simulation example and an industrial application to temperature prediction of a blast furnace hearth.
This paper present numerical modeling of infinitesimal dipole for the purpose of finding irregularities in real time survey data of marine controlled source electromagnetic survey. Algorithm for numerical solution usi...
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This paper present two-dimensional forward modeling of marine controlled-source electromagnetic data for the purpose of hydrocarbon mapping. The forward algorithm employs a staggered-grid finite difference solution to...
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Parkinson's disease (PD) is a common disease of central nervous system among the elderly, and its complex symptoms bring up some difficulties for the clinical diagnosis. And Deep Brain Stimulation (DBS) is an effe...
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Parkinson's disease is one of the most common neurodegenerative disorders, and its complex symptoms bring some difficulties for the clinical diagnosis. In this study, a method based on mathematical modeling of han...
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At present, the cooperative operation pattern of manned/unmanned aerial vehicle team has became a focus of international research. To assessment the cooperative effect of manned/unmanned aerial vehicle team, some infl...
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The paper takes National Topographic Database by assuming vector diagram water system with 1:250,000 scale as a data source. A reasonable and efficient coding method for river network is presented, which can solve the...
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Parkinson's disease (PD) is a common movement disorder caused from the neurological dysfunction in basal ganglia. Patients with Parkinson's disease have serious movement problems, such as movement disorders, t...
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In electromagnetic (EM) geophysical surveys the most revealing description of EM distortion occurs due to heterogeneity of medium. Prior to determine EM field behavior for stratified earth model, there is need to unde...
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ISBN:
(纸本)9781457718823
In electromagnetic (EM) geophysical surveys the most revealing description of EM distortion occurs due to heterogeneity of medium. Prior to determine EM field behavior for stratified earth model, there is need to understand EM field behavior for topography and single interface model. This study involve ingle interface model which embodies two very different situations of conductive and non-conductive half space using finite-element (FE) method. The efficient and accurate modeling is used to calculate the EM field at interface with topography of layered media. The finite element algorithm is implemented in MATLAB and results obtained are also discussed in this chapter.
This paper examines robust partially mode delay dependent H ∞ output feedback controller design for discrete-time systems with random communication delays. A finite state Markov chain with partially known transition ...
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