a国产,中文字幕久久波多野结衣AV,欧美粗大猛烈老熟妇,女人av天堂

當(dāng)前位置:主頁 > 管理論文 > 工程管理論文 >

基于反演的精餾過程動態(tài)擾動原因的診斷

發(fā)布時間:2018-08-09 21:11
【摘要】:精餾是石油化工生產(chǎn)過程中應(yīng)用最廣泛的操作之一,對精餾設(shè)備所作的微小擾動可能會引發(fā)事故,產(chǎn)生巨大的經(jīng)濟(jì)損失。為確保精餾裝置安全、平穩(wěn)運行,及時發(fā)現(xiàn)異常狀態(tài)中參數(shù)的劣化趨勢,需要及時識別異常原因,從源頭上預(yù)防和控制精餾事故的發(fā)生。精餾過程中存在大量擾動,擾動原因難以確定,擾動量信息診斷精度難以提高;谝陨蠁栴},本文將物理領(lǐng)域的反演思想應(yīng)用到精餾擾動診斷領(lǐng)域,建立擾動反演模型,深入分析擾動原因。本文以單、雙變量擾動為例,對精餾過程擾動原因反演問題進(jìn)行了研究?紤]動態(tài)精餾過程的非線性與非穩(wěn)定性,結(jié)合物料衡算和能量衡算等方程,運用機(jī)理建模的方法,建立了精餾塔的動態(tài)數(shù)學(xué)模型,并動態(tài)模擬出正常、異常樣本。對應(yīng)地,運用人工神經(jīng)網(wǎng)絡(luò)(ANN)、否定選擇法(NSA)和支持向量機(jī)(SVM)方法確定出擾動類型,然后結(jié)合遺傳算法(GA)建立了各擾動量與特征表示量的反演模型,通過運算獲得擾動量的大小?紤]到上述診斷方法中人工提取特征所帶來的復(fù)雜性和不確定性,本文運用深度學(xué)習(xí)(DL)對擾動類型進(jìn)行識別,增強(qiáng)了識別過程的智能性。本文選取脫丙烷生產(chǎn)工藝為研究對象,建立了動態(tài)模擬仿真系統(tǒng)。同時也建立了擾動量的反演模型,診斷出了工藝中常見的擾動原因,對上述所提方法進(jìn)行了驗證和對比。結(jié)果表明,此方法能夠快速定位擾動類型,準(zhǔn)確得出擾動量,實現(xiàn)了動態(tài)精餾系統(tǒng)擾動原因的深入辨識。
[Abstract]:Distillation is one of the most widely used operations in the process of petrochemical production. Small disturbances to the distillation equipment may cause accidents and produce huge economic losses. In order to ensure the safety and smooth operation of the distillation unit, the deterioration trend of the parameters in the abnormal state is found in time. It is necessary to identify the abnormal causes in time and to prevent and control from the source. There are a lot of disturbances in the distillation process. The cause of disturbance is difficult to be determined and the accuracy of the disturbance information diagnosis is difficult to be improved. Based on the above problems, this paper applies the inverse thought in the physical field to the field of distillation disturbance diagnosis, establishes a disturbance inversion model, and analyzes the cause of disturbance. This paper takes the single and bivariate perturbation as an example. The problem of the inversion of the cause of the distillation process is studied. Considering the nonlinear and non stability of the dynamic distillation process, combining the equations of material balance and energy balance, the dynamic mathematical model of the distillation column is established by the method of mechanism modeling, and the normal and abnormal samples are simulated dynamically, and the artificial neural network (ANN) is used for the dynamic simulation. The NSA and support vector machine (SVM) method are used to determine the disturbance type, and then the inverse model of the disturbance momentum and the feature representation is established by combining the genetic algorithm (GA). The size of the disturbance is obtained by operation. The depth learning (D) is used in this paper. L) to identify the type of disturbance and enhance the intelligence of the identification process. In this paper, a dynamic simulation system is established by selecting the propane production process as the research object, and the inversion model of the disturbance is also established. The common disturbance causes in the process are diagnosed and the methods are verified and contrasted. The results show that this method is used. The method can locate the disturbance types quickly and get the disturbance quantities accurately, thus realizing the in-depth identification of the disturbance causes of the dynamic distillation system.
【學(xué)位授予單位】:青島科技大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TQ028.31;TQ221.13

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 李巍華;單外平;曾雪瓊;;基于深度信念網(wǎng)絡(luò)的軸承故障分類識別[J];振動工程學(xué)報;2016年02期

2 劉立巖;;基于PROII和NSGA-Ⅱ的乙烯裂解裝置急冷系統(tǒng)的多目標(biāo)優(yōu)化[J];煉油與化工;2015年04期

3 魏巧玲;趙勁松;鐘本和;;基于模擬疫苗的人工免疫系統(tǒng)在氯乙烯聚合間歇過程故障診斷中的應(yīng)用[J];化工學(xué)報;2015年02期

4 劉成利;鄭勇;熊熊;付芮;單斌;刁法啟;;利用區(qū)域?qū)掝l帶數(shù)據(jù)反演魯?shù)镸_s6.5級地震震源破裂過程[J];地球物理學(xué)報;2014年09期

5 羅雄麟;趙曉鷹;吳博;孫琳;;乙烯精餾塔異常工況在線偵測與控制[J];化工學(xué)報;2014年11期

6 黃國強(qiáng);靳權(quán);王紅星;;隔板精餾塔分離氯化亞砜的模擬及工藝優(yōu)化[J];化學(xué)工程;2014年03期

7 齊詠生;王林;李立;高學(xué)金;王普;;GMM-DPLS間歇過程故障監(jiān)測與質(zhì)量預(yù)報[J];計算機(jī)與應(yīng)用化學(xué);2013年10期

8 董良國;遲本鑫;陶紀(jì)霞;劉玉柱;;聲波全波形反演目標(biāo)函數(shù)性態(tài)[J];地球物理學(xué)報;2013年10期

9 朱兆友;張方坤;王英龍;;化工過程動態(tài)仿真的研究與應(yīng)用進(jìn)展[J];現(xiàn)代化工;2013年07期

10 盧海;鄢烈祥;史彬;林子雄;李驍淳;;并行多家族遺傳算法解多目標(biāo)優(yōu)化問題[J];化工學(xué)報;2012年12期



本文編號:2175322

資料下載
論文發(fā)表

本文鏈接:http://www.wukwdryxk.cn/guanlilunwen/gongchengguanli/2175322.html


Copyright(c)文論論文網(wǎng)All Rights Reserved | 網(wǎng)站地圖 |

版權(quán)申明:資料由用戶e6bd1***提供,本站僅收錄摘要或目錄,作者需要刪除請E-mail郵箱bigeng88@qq.com
亚洲2022国产成人精品无码区| 欧美黑人粗大xxxxbbbb| 色狠狠久久Av五月综合| 亚洲成在人线天堂网站| 久久久久亚洲AV无码专区蜜芽| 国产69精品久久久久9999| 久草视频免费在线| 亚洲精品www久久久| а8天堂资源在线官网| 快色下载| 永清县| 永久免费av无码网站性色av| 97爱| 无码人妻丰满熟妇啪啪网站| 久久久橹橹橹久久久久手机版| 黑人熟女| 人妻互换| 国产AV无码专区亚洲AV漫画| 亚洲中文字幕无码中文| 欧美a一级| 日韩精品无码专区免费播放| 国产乱子伦无码专区| 永久免费的AV在线网无码| 久久久久99人妻一区二区三区| 国产精品日韩欧美一区二区三区| 国产女人18毛片水多18精品| 99久热精品免费观看98| 温州论坛| 伊人热| 亚洲AV无码无在线观看| 亚洲AV无码专区国产不卡顿 | 欧美精品一区二区三区不卡| japanesexxⅹhd麻豆| 久久黄片视频| 麻豆精品一区二区三区| 一级a性色生活片久久| 在线黄色av| h小视频| 91九色精品熟女内射| 狠狠躁天天躁夜夜添人人| 国产全是老熟女太爽了|