Abstract
N/C Ratio is an important parameter for process optimization occuring in urea synthesis reactor because it affects the amount of produced urea and corrosion to the material in the reactor. In most cases, the measurement of N/C Ratio is performed in the laboratory so that it has quite significant delay time in producing the results of measurement, which is undesired for control and process optimization purposes. This paper proposes a development of inferential measurement system using wavelet network (wavenet) as parameter and inferential estimator. The design was implemented for measuring N/C Ratio using real-time data of an urea synthesis reactor of a fertilizer plant located in East Java. The results show that the parameter estimator has RMSE value of 0.0561 using the flow of ammonia and bottom product temperature of the reactor, whereas the inferential estimator has the RMSE value of 0.0486 with shorter time of estimation of measurement results.
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