Abstract
A method of real-time prognosis of flooding phenomenon in packed columns includes steps as follows. An online data collecting step is conducted, wherein a plurality of pressure drop data are collected from a packed column under an operation state. A detrending step is conducted, wherein a trend of the pressure drop data is removed to obtain a plurality of detrended pressure drop data. A fitting step is conducted, wherein the detrended pressure drop data are fitted with an EGARCH model to obtain a value of at least one of model coefficients. A repeating step is conducted, wherein another value of the at least one of model coefficients is obtained. A statistical step is conducted, wherein the values of the at least one of model coefficients are calculated to obtain a statistic. A control step is conducted, wherein the statistic result is compared to a control limit. When the statistic is greater than the control limit, an alarm is triggered. As such, it is favorable for real-time prognosis of flooding phenomenon.