Method of real-time prognosis of flooding phenomenon in packed column
US-10472640-B2 · Nov 12, 2019 · US
Method of real-time prognosis of flooding phenomenon in packed column
US10456704B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10456704-B2 |
| Application number | US-201715795278-A |
| Country | US |
| Kind code | B2 |
| Filing date | Oct 27, 2017 |
| Priority date | Mar 14, 2017 |
| Publication date | Oct 29, 2019 |
| Grant date | Oct 29, 2019 |
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Abstract
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A method of real-time prognosis of a flooding phenomenon in a packed column includes steps as follows. An online data collection step is conducted, wherein a plurality of values of a pressure drop are collected from the packed column under operation. A detrending step is conducted to obtain a plurality of values of a detrended pressure drop. A fitting step is conducted, wherein the values of the detrended pressure drop are fitted with an EGARCH(p, q) model to obtain a value of at least one of model coefficients. A repeat step is conducted to obtain another value of the at least one of model coefficients. A statistical step is conducted, wherein a value of the monitoring statistic is calculated. A control step is conducted, wherein the value of the monitoring statistic is compared to a control limit.
First claim
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What is claimed is: 1. A method of real-time prognosis of a flooding phenomenon in a packed column, comprising: conducting an online data collection step, wherein a plurality of values of a pressure drop are collected from the packed column under operation; conducting a detrending step, wherein a trend of the values of the pressure drop is removed to obtain a plurality of values of a detrended pressure drop; conducting a fitting step, wherein the values of the detrended pressure drop are fitted with an exponential generalized autoregressive conditional heteroskedasticity model with orders of p and q (EGARCH(p, q) model) to obtain a value of at least one of model coefficients; conducting a repeat step, wherein another value of the at least one of model coefficients is obtained; conducting a statistical step, wherein a value of the monitoring statistic is calculated based on the values of the at least one of model coefficients; conducting a control step, wherein the value of the monitoring statistic is compared to a control limit, and an alarm is triggered when the value of the monitoring statistic is greater than the control limit; and conducting an adjustment step after the alarm is triggered, wherein an operational condition of the packed column is adjusted to make the value of the monitoring statistic less than the control limit. 2. The method of real-time prognosis of the flooding phenomenon in the packed column of claim 1 , wherein the EGARCH(p, q) model is represented by Formula (1): ln ( σ t 2 ) = α 0 + ∑ i = 1 p β i log σ t - i 2 + ∑ j = 1 q α j [ ɛ t - j σ j - E { ɛ t - j σ t - j } ] + ∑ j = 1 q ξ j ( ɛ t - j σ t - j ) ;
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electric · CPC title
- B01D3/4211Primary
of columns · CPC title
characterised by the use of electric means · CPC title
Simultaneous equations {, e.g. systems of linear equations} · CPC title
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- What does patent US10456704B2 cover?
- A method of real-time prognosis of a flooding phenomenon in a packed column includes steps as follows. An online data collection step is conducted, wherein a plurality of values of a pressure drop are collected from the packed column under operation. A detrending step is conducted to obtain a plurality of values of a detrended pressure drop. A fitting step is conducted, wherein the values of th…
- Who is the assignee on this patent?
- Univ Nat Tsing Hua, Chang Chun Plastics Co Ltd, Chang Chun Petrochemical Co Ltd
- What technology area does this patent fall under?
- Primary CPC classification B01D3/4211. Mapped technology areas include Operations & Transport.
- When was this patent published?
- Publication date Tue Oct 29 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).