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Cites:

Information Journal Paper

Title

SIMULATION OF NOISE CONDITIONING ON CHEMICAL PROCESS DATA USING ADAPTIVE DATA RECONCILIATION

Pages

  24-30

Abstract

 A novel method for linear dynamic DATA RECONCILIATION problem is proposed. The method integrates recursive least square identifier and discrete KALMAN FILTER state estimator. The model used for the method is a black box, linear, discrete, state space, and MIMO model. The structure of the model is fixed but its parameters are estimated with online noisy input-output data of plant using identifier. The identified model parameters along with plant input-output data are used for regeneration of free noise states and outputs. Simulink (toolbox of MATLAB) is used for implementation and simulation of this method. Plant data is entered from workspace of MATLAB. The data is artificially contaminated with white noise in Simulink.The method is tested using input-output data of TENNESSEE-EASTMAN (TE) simulator. After simulation and comparison of true process data with reconciled process data, it can be shown that the results of this simulation are satisfactory.

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  • Cite

    APA: Copy

    BALOOCHY, B., SHOKRI, S., AHMADI MARVAST, M., & AYAZI, M.. (2012). SIMULATION OF NOISE CONDITIONING ON CHEMICAL PROCESS DATA USING ADAPTIVE DATA RECONCILIATION. IRANIAN CHEMICAL ENGINEERING JOURNAL, 10(58), 24-30. SID. https://sid.ir/paper/150809/en

    Vancouver: Copy

    BALOOCHY B., SHOKRI S., AHMADI MARVAST M., AYAZI M.. SIMULATION OF NOISE CONDITIONING ON CHEMICAL PROCESS DATA USING ADAPTIVE DATA RECONCILIATION. IRANIAN CHEMICAL ENGINEERING JOURNAL[Internet]. 2012;10(58):24-30. Available from: https://sid.ir/paper/150809/en

    IEEE: Copy

    B. BALOOCHY, S. SHOKRI, M. AHMADI MARVAST, and M. AYAZI, “SIMULATION OF NOISE CONDITIONING ON CHEMICAL PROCESS DATA USING ADAPTIVE DATA RECONCILIATION,” IRANIAN CHEMICAL ENGINEERING JOURNAL, vol. 10, no. 58, pp. 24–30, 2012, [Online]. Available: https://sid.ir/paper/150809/en

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