Distillation Column Malfunctions Identification using Higher Order Statistics

Distillation Column Identification Using Artificial Neural Network

  Abstract: In this paper, Artificial Neural Network (ANN) was used for modeling the nonlinear structure of a debutanizer column in a refinery gas process plant. The actual input-output data of the system were measured in order to be used for system identification based on root mean square error (RMSE) minimization approach. It was shown that the designed recurrent neural network is able to pr...

Microphone Identification using Higher-Order Statistics

This paper presents a statistical framework for microphone identification using only digital audio recordings. To accomplish this task, the microphone-induced artifacts are modeled using a nonlinear function and then a statistical tool based on higher-order statistics is used to capture these artifacts. More specifically, polyspectral analysis is used to capture microphone-induced artifacts. Di...

Nonlinear system identification using higher order statistics

A general formula is given for the conditional mean in terms of higher order statistics. Using this formula, a general scheme for nonlinear system identi cation is introduced including a broad range of nonlinearities which depends on the probability density function of the input. As a special case of that general scheme, the polynomial system identi cation problem is treated. It is shown that o...

distillation column identification using artificial neural network

â  abstract: in this paper, artificial neural network (ann) was used for modeling the nonlinear structure of a debutanizer column in a refinery gas process plant. the actual input-output data of the system were measured in order to be used for system identification based on root mean square error (rmse) minimization approach. it was shown that the designed recurrent neural network is able to pr...

Identification of multichannel MA parameters using higher-order statistics