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BP neural network is one of traditional methods to solve the inverse problems in Electrical Capacitance Tomography (ECT). To adopt this method, simple problems in industry can be solved well, but for the actual complicated industry environment it is limited. In this paper, based on the analysis of disadvantages in traditional BP neural network, adaptively adjustment learning rate is adopted and additional...
Because the accuracy of image reconstruction in electrical capacitance tomography (ECT) technology is impacted by the "soft-field" nature and ill-posed problem, on the basis of analyzing ECT basic principle and imaging algorithm, an image fusion method based on PCA transform and wavelet transform is proposed. Firstly, the pending fusion image is transformed with PCA, and principal components...
ECT (Electrical Capacitance Tomography) is a kind of tomography technology. In ECT, capacitance values of the pair of electrodes around the object are measured, according to which permittivity distribution of the object can be computed, and spatial distribution inside of the object can be obtained. Because of some advantages such as non-intrusion, widely usage, safe, fast response, simple structure...
To solve the problem of two-phase flow measurement for electrode electrical capacitance tomography (ECT), on the basis of analyzing ECT system measurement principle, we constructed the mathematical model of two-phase flow distribution information according to double integral infinitesimal principle, and formed a set of 12-Electrode two-phase ECT system. And to speed up the slow convergence rate of...
According to the fundamental principles of electrical capacitance tomography (ECT), a new ECT algorithm optimized Radial Basis Function (RBF) neural network algorithm, which is based on Artificial Fish Swarm Algorithm (AFSA) is proposed against the “soft field” effects and ill-conditioning problems in ECT technology. After giving the mathematic model of the algorithm, this paper also applies the AFSA...
Image reconstruction is a key to electrical capacitance tomography system. In this paper, basic principle and image construction problem of ECT system is analyzed, and BP neural network is adopted to solve image reconstruction. To accelerate reconstruction, BP neural network is divided into several parts, and each part will be sent to different slave nodes on which Globus platform is installed. After...
To solve the electrical capacitance tomography(ECT) technology ldquosoft fieldrdquo effect and pathological problem, a quasi-Newton new algorithm for electrical capacitance tomography is presented. On the basis of analyzing ECT system measurement principle, constructing corrector formula of secant approximation algorithm in second-order information items of objective functions. The feasibility of...
Two-phase fluid has complex flow characteristic and the accurate identification of flow regime is the basis of the accurate measurement of two-phase flow's parameter. There are still many defects such as low reconstruction quality and low reconstruction speed in image reconstruction algorithm because of soft field characteristic, strong nonlinear and ill-posedness of electrical resistance tomography...
To solve the problem of two-phase flow measurement for electrode electrical capacitance tomography (ECT), on the basis of analyzing ECT system measurement principle, we constructed the mathematical model of two-phase flow distribution information according to double integral infinitesimal principle, and formed a set of 12-electrode two-phase ECT system. And to speed up the slow convergence rate of...
To solve the problem of two-phase flow measurement for electrode electrical capacitance tomography (ECT),on the basis of analyzing ECT system measurement principle, we constructed the mathematical model of two phase flow distribution information according to double integral infinitesimal principle, and formed a set of 12-Electrode two-phase ECT system. And to speed up the slow convergence rate of...
For the non-linear characteristic and "soft filed" feature of electrical capacitance tomography system, in this paper, based on the analysis of neural network basic algorithm principles, optimizes parameters in the activation function and error function for BP network are optimized. The simulation experiment shows that the learning speed and convergence rate of the BP network has been improved...
The mathematic model of the oil-water two-phase distribution information is established based on double integral infinitesimal principle, an ECT measurement system of 8-electrode oil-water two-phase flow is set up that is comprised of a measurement circuit with stray-capacitance-resistance and a 80C32 SCM, both of which control the measurement among the pole plates and the capture system. The image...
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