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Polymer dynamic extrusion is a complicated MIMO nonlinear system with time-varying, and the melt temperature is one of key parameters to measure and control. In order to improve the predicting accuracy of melt temperature distribution under the influence of multi-variable coupling, a ridge regression method based on Gaussian RBF (GRBF-RR) is presented. The model fulfill the nonlinear mapping and reconstruction...
In the modern electronic speckle pattern interferometry (ESPI), the filtering for the correlation fringe pattern plays an important role in extracting the edge information and processing the ESPI image. A filtering method based on Curvelet transform is proposed in this paper for processing the ESPI image. Some other representative filtering methods such as mean filtering, median filtering, low-pass...
The oil/water two-phase flow is a complicated two-component nonlinear system with time-variance, and the dynamic measuring system for water content in crude oil based on method of dielectric coefficient is affected by manufacturing technology of sensor itself and some non-object parameters, such as temperature and salinity content in oil-water mixture. Consequently, the sensor has serious non-linearity...
The measurement of water content in crude oil based on method of dielectric coefficient is affected by multi-factor, including temperature, salinity content, flow states of oil/water mixture and output characteristic of measuring-sensor, is regarded as a multi-input and single-output nonlinear system with time-variance, strong uncertainty and randomicity. In this paper, a measuring system based on...
Some parameters affecting the measurement of water content in oil/water two-phase flow are detected using multi-sensor technology, and a novel hybrid intelligent prediction model is proposed to improve measuring precision of water content. Some advanced information processing technologies, such as neural networks optimized by hybrid genetic algorithm, combined method for decisions of multiple sub-modules,...
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