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In this paper, a dual-ring conductance probe array-based well logging instrument was developed and a method based on the support vector classification (SVC) and voting methods was proposed to identify the oil–water flow patterns in a vertical well. The patterns of the oil–water flow in a vertical well are classified into five patterns, i.e., pure oil phase, pure water phase, water-in-oil, oil-in-water,...
In this paper, Support Vector Machines (SVM) technique was used to identify fuel types. Flame oscillation signal were captured by a three-cell flame monitor. Thirty flame features were extracted from each flame signal. Then Principal Component Analysis (PCA) was used to choose the principal components of each features vector that represent over 99 percent variations of the features vector. An SVM...
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