本文選題：氣固流化床 + 聲發(fā)射　； 參考：《內(nèi)蒙古科技大學(xué)》2015年碩士論文

【摘要】：化學(xué)工業(yè)是國(guó)民經(jīng)濟(jì)的支柱產(chǎn)業(yè)，化工生產(chǎn)合成聚合物中產(chǎn)量最大的是聚乙烯，其生產(chǎn)方式分為高壓法、中壓法、低壓法三種。低壓生產(chǎn)中有溶液法、淤漿法和氣相法，相對(duì)比較，氣相法生產(chǎn)具有明顯優(yōu)勢(shì)，得到廣泛應(yīng)用。氣相法生產(chǎn)聚乙烯主要依靠氣固流化床反應(yīng)器，其系統(tǒng)較為復(fù)雜，其工作環(huán)境常常具有高溫、高壓、高濕度等特點(diǎn)，在長(zhǎng)期的運(yùn)行當(dāng)中極易發(fā)生故障，若不能及時(shí)發(fā)現(xiàn)，將會(huì)造成設(shè)備損壞而停產(chǎn)的危險(xiǎn)，因此流化床在線故障診斷就顯得非常的重要。 本文研究的主要內(nèi)容是聲發(fā)射技術(shù)應(yīng)用于流化床故障的測(cè)量。針對(duì)化工生產(chǎn)中氣固流化床風(fēng)帽故障影響流化質(zhì)量問(wèn)題，借助聲發(fā)射技術(shù)進(jìn)行定位測(cè)量，通過(guò)均勻安裝在流化床分布板下方的聲發(fā)射傳感器，進(jìn)行氣固流化床內(nèi)固體顆粒撞擊分布板的聲信號(hào)采集，再對(duì)該信號(hào)進(jìn)行多尺度小波包分解，找出特征頻段能量值和能量分布差異，提出一種能夠快速準(zhǔn)確地檢測(cè)出風(fēng)帽故障位置和故障類型的方法，并完成實(shí)驗(yàn)，驗(yàn)證其方法的可行性。此外，流化床內(nèi)流化粒子受原料質(zhì)量、催化劑等因素影響會(huì)發(fā)生局部高溫而產(chǎn)生結(jié)塊，本文應(yīng)用聲發(fā)射傳感器采集流化床內(nèi)顆粒撞擊器壁的聲信號(hào)，將檢測(cè)的數(shù)據(jù)經(jīng)經(jīng)驗(yàn)?zāi)B(tài)分解與能量信息熵分析進(jìn)行故障特征向量提取，，然后將提取的特征向量輸入到支持向量機(jī)中進(jìn)行分類訓(xùn)練，完成結(jié)塊故障的分類。 在實(shí)驗(yàn)室冷模流化床實(shí)驗(yàn)平臺(tái)模擬了風(fēng)帽故障與動(dòng)結(jié)塊故障，完成了信號(hào)采集以及故障識(shí)別算法的驗(yàn)證，實(shí)驗(yàn)表明聲發(fā)射技術(shù)用于流化床故障診斷具有良好的效果。
[Abstract]:The chemical industry is the pillar industry of the national economy. The largest production of synthetic polymers in chemical production is polyethylene, which is divided into three production modes: high pressure method, medium pressure method and low pressure method. There are solution method, slurry method and gas phase method in low pressure production. Compared with gas phase method, gas phase method has obvious advantages and is widely used. The gas-solid fluidized bed reactor is the main way to produce polyethylene in the gas phase process. Its system is complex, and its working environment is usually characterized by high temperature, high pressure and high humidity. It is easy to break down in the long run, if it can not be found in time, Because of the danger of equipment damage and shutdown, it is very important to diagnose the fault in fluidized bed. The main content of this paper is the application of acoustic emission technology in fault measurement of fluidized bed. In view of the problem that the air-solid fluidized bed air cap failure affects the fluidization quality in chemical production, the acoustic emission sensor, which is uniformly installed under the fluidized bed distribution plate, is measured by means of acoustic emission technology. The acoustic signal of solid particles impinging on the distributing plate in a gas-solid fluidized bed is collected, and then the signal is decomposed with multi-scale wavelet packet to find out the difference of energy value and energy distribution in characteristic frequency band. A method to detect the fault location and type of the hood quickly and accurately is proposed, and the experiment is completed to verify the feasibility of the method. In addition, fluidized particles in fluidized bed are affected by raw material quality, catalyst and other factors to produce caking. In this paper, acoustic emission sensors are used to collect acoustic signals of particle impingement on the wall of fluidized bed. The detected data are extracted by empirical mode decomposition and energy information entropy analysis. Then the extracted feature vectors are input into support vector machine for classification training to complete the classification of caking faults. The fault of air cap and dynamic caking is simulated on the laboratory cold model fluidized bed experiment platform. The signal collection and fault identification algorithm are verified. The experiment shows that acoustic emission technology has good effect in fault diagnosis of fluidized bed.
【學(xué)位授予單位】：內(nèi)蒙古科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TQ051.13

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本文編號(hào)：1906573