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In this paper, a new approach is introduced for fault detection and diagnostic. The method uses integration of PCA (Principal Component Analysis) and ANFIS (Adaptive Neuro -Fuzzy Inference System). PCA is employed to reduce the recorded data dimension and yet extract informative features for fault detection purpose. The reduced data is then fed to ANFIS to discriminate the occurred fault. Resolution...
Some chemical plants such as distillation column have highly nonlinear behavior. These processes demand a powerful identification method such as linear and nonlinear models. In this paper, a distillation column is simulated in a rather realistic environment by HYSYS and the obtained data is in connection with MATLAB for identification and control purpose. In this case, the identified model is characterized...
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