本文主要研究内容
作者魏涛（2019）在《湿式除尘器气液两相流动特性及智能识别》一文中研究指出：气液两相流动状态是湿式除尘器性能的重要影响因素,但是,目前对湿式除尘器内的气液两相流动的研究还不深入,流动状态的定性认识缺乏基础分析数据。由于该研究的缺失,在工业开发中,无法对该类除尘器性能强化的技术创新形成有效指导;在设备运行时,难以实时观测和客观评价除尘器内部的运行状态,无法在较差的运行状态下及时做出调整,影响生产安全和净化效率。本文依托强对流型湿式除尘器为研究平台,采集除尘器气相高频压力信号作为原始分析数据,利用小波包分析与信息熵、递归分析、复杂性测度分析等理论,提取出与除尘器气液两相流动特征密切相关的细节特征参数;并通过与气液两相流动状态的实时图像信号进行比对,从气液两相流动的整体宏观特征到液滴、气泡等微观特征进行了多角度的研究和分析。依据除尘器气相压力信号选取相应的统计分析及小波包细节信息特征参数,设计开发了1套湿式除尘器气液两相流型在线监测系统,为实时调控除尘器运行在高效工作区提供定量依据,达到实时强化调节净化效率的目的。提出了一种衡量除尘器气相压力信号在不同频段能量分布均匀性的指标参数,即小波能量熵。研究了除尘器气液两相流动过程中气相压力在不同频段上能量分布的均匀性。在同一液位下,小波能量熵值随气流速度增大,整体呈减小趋势,说明在气液两相接触过程中不同频段上能量分布越不均匀,反映出不同状态下除尘器中不同尺度捕集体的产生及动态分布情况;且不同流型下的小波能量熵值具有较高的区分度,区别效率达到92.5%,可以作为一种有效的流型识别准则。揭示了除尘器气相压力信号多尺度递归特性变化规律。结合小波包分解后的信息,从更为细节的角度展示不同流型下气相压力信号从低频段到高频段的变化过程,进一步反映除尘器气液两相接触过程中不同尺度捕集体随频率的动态演变规律;通过递归定量特征提取,发现递归定量分析特征对除尘器低液位气液共振流型的变化不够敏感,但对于其他流型的演变具有较强的区分度,且与小波能量熵测度分析结果相吻合,证明经小波包分解后的细节压力信息可以作为流型识别的依据。结合气相压力信号的序列复杂性测度研究分析,对不同流型下气的两种复杂性指标随气流速度的变化规律对递归定量分析结果进一步验证,显示出较好的对应关系,为更深入的理解除尘器内的气液两相流动特性提供辅助判据。开发了一种除尘器气液两相流型的智能判别系统。依据除尘器气相压力信号选取相应的统计分析及小波包细节信息特征参数,建立了BP、RBF及Elman神经网络模型,实现了湿式除尘器气液两相流动形态的判别,判别效率分别达到97.2%、98.2%和97.8%;同时,建立神经网络融合识别规则,利用LABVIEW软件平台开发1套湿式除尘器气液两相流型智能识别系统,实现流型的实时监测。
Abstract
qi ye liang xiang liu dong zhuang tai shi shi shi chu chen qi xing neng de chong yao ying xiang yin su ,dan shi ,mu qian dui shi shi chu chen qi nei de qi ye liang xiang liu dong de yan jiu hai bu shen ru ,liu dong zhuang tai de ding xing ren shi que fa ji chu fen xi shu ju 。you yu gai yan jiu de que shi ,zai gong ye kai fa zhong ,mo fa dui gai lei chu chen qi xing neng jiang hua de ji shu chuang xin xing cheng you xiao zhi dao ;zai she bei yun hang shi ,nan yi shi shi guan ce he ke guan ping jia chu chen qi nei bu de yun hang zhuang tai ,mo fa zai jiao cha de yun hang zhuang tai xia ji shi zuo chu diao zheng ,ying xiang sheng chan an quan he jing hua xiao lv 。ben wen yi tuo jiang dui liu xing shi shi chu chen qi wei yan jiu ping tai ,cai ji chu chen qi qi xiang gao pin ya li xin hao zuo wei yuan shi fen xi shu ju ,li yong xiao bo bao fen xi yu xin xi shang 、di gui fen xi 、fu za xing ce du fen xi deng li lun ,di qu chu yu chu chen qi qi ye liang xiang liu dong te zheng mi qie xiang guan de xi jie te zheng can shu ;bing tong guo yu qi ye liang xiang liu dong zhuang tai de shi shi tu xiang xin hao jin hang bi dui ,cong qi ye liang xiang liu dong de zheng ti hong guan te zheng dao ye di 、qi pao deng wei guan te zheng jin hang le duo jiao du de yan jiu he fen xi 。yi ju chu chen qi qi xiang ya li xin hao shua qu xiang ying de tong ji fen xi ji xiao bo bao xi jie xin xi te zheng can shu ,she ji kai fa le 1tao shi shi chu chen qi qi ye liang xiang liu xing zai xian jian ce ji tong ,wei shi shi diao kong chu chen qi yun hang zai gao xiao gong zuo ou di gong ding liang yi ju ,da dao shi shi jiang hua diao jie jing hua xiao lv de mu de 。di chu le yi chong heng liang chu chen qi qi xiang ya li xin hao zai bu tong pin duan neng liang fen bu jun yun xing de zhi biao can shu ,ji xiao bo neng liang shang 。yan jiu le chu chen qi qi ye liang xiang liu dong guo cheng zhong qi xiang ya li zai bu tong pin duan shang neng liang fen bu de jun yun xing 。zai tong yi ye wei xia ,xiao bo neng liang shang zhi sui qi liu su du zeng da ,zheng ti cheng jian xiao qu shi ,shui ming zai qi ye liang xiang jie chu guo cheng zhong bu tong pin duan shang neng liang fen bu yue bu jun yun ,fan ying chu bu tong zhuang tai xia chu chen qi zhong bu tong che du bu ji ti de chan sheng ji dong tai fen bu qing kuang ;ju bu tong liu xing xia de xiao bo neng liang shang zhi ju you jiao gao de ou fen du ,ou bie xiao lv da dao 92.5%,ke yi zuo wei yi chong you xiao de liu xing shi bie zhun ze 。jie shi le chu chen qi qi xiang ya li xin hao duo che du di gui te xing bian hua gui lv 。jie ge xiao bo bao fen jie hou de xin xi ,cong geng wei xi jie de jiao du zhan shi bu tong liu xing xia qi xiang ya li xin hao cong di pin duan dao gao pin duan de bian hua guo cheng ,jin yi bu fan ying chu chen qi qi ye liang xiang jie chu guo cheng zhong bu tong che du bu ji ti sui pin lv de dong tai yan bian gui lv ;tong guo di gui ding liang te zheng di qu ,fa xian di gui ding liang fen xi te zheng dui chu chen qi di ye wei qi ye gong zhen liu xing de bian hua bu gou min gan ,dan dui yu ji ta liu xing de yan bian ju you jiao jiang de ou fen du ,ju yu xiao bo neng liang shang ce du fen xi jie guo xiang wen ge ,zheng ming jing xiao bo bao fen jie hou de xi jie ya li xin xi ke yi zuo wei liu xing shi bie de yi ju 。jie ge qi xiang ya li xin hao de xu lie fu za xing ce du yan jiu fen xi ,dui bu tong liu xing xia qi de liang chong fu za xing zhi biao sui qi liu su du de bian hua gui lv dui di gui ding liang fen xi jie guo jin yi bu yan zheng ,xian shi chu jiao hao de dui ying guan ji ,wei geng shen ru de li jie chu chen qi nei de qi ye liang xiang liu dong te xing di gong fu zhu pan ju 。kai fa le yi chong chu chen qi qi ye liang xiang liu xing de zhi neng pan bie ji tong 。yi ju chu chen qi qi xiang ya li xin hao shua qu xiang ying de tong ji fen xi ji xiao bo bao xi jie xin xi te zheng can shu ,jian li le BP、RBFji Elmanshen jing wang lao mo xing ,shi xian le shi shi chu chen qi qi ye liang xiang liu dong xing tai de pan bie ,pan bie xiao lv fen bie da dao 97.2%、98.2%he 97.8%;tong shi ,jian li shen jing wang lao rong ge shi bie gui ze ,li yong LABVIEWruan jian ping tai kai fa 1tao shi shi chu chen qi qi ye liang xiang liu xing zhi neng shi bie ji tong ,shi xian liu xing de shi shi jian ce 。
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论文作者分别是来自中国矿业大学的魏涛，发表于刊物中国矿业大学2019-07-18论文，是一篇关于湿式除尘器论文,气液两相流论文,小波能量熵论文,递归图论文,神经网络论文,中国矿业大学2019-07-18论文的文章。本文可供学术参考使用，各位学者可以免费参考阅读下载，文章观点不代表本站观点，资料来自中国矿业大学2019-07-18论文网站，若本站收录的文献无意侵犯了您的著作版权，请联系我们删除。
标签：湿式除尘器论文; 气液两相流论文; 小波能量熵论文; 递归图论文; 神经网络论文; 中国矿业大学2019-07-18论文;