【摘要】：鋁電解過程是眾多復(fù)雜工業(yè)流程中的一種,它具有復(fù)雜工業(yè)流程的非線性、時變和大時滯等特點(diǎn)。在鋁電解的進(jìn)行過程中,不僅存在由于電解槽內(nèi)物料平衡與能量平衡等被破壞而引起的電解槽故障,還存在由于電解過程中執(zhí)行器電動機(jī)的故障而造成的故障。本文中將電解槽故障定義為鋁電解的過程故障,執(zhí)行器電動機(jī)故障定義為系統(tǒng)故障。針對以上情況本文提出了鋁電解多故障診斷系統(tǒng),并以VB 6.0為開發(fā)平臺,設(shè)計了鋁電解監(jiān)控系統(tǒng)。該多故障診斷系統(tǒng)包括了鋁電解過程故障診斷系統(tǒng)和鋁電解系統(tǒng)故障診斷系統(tǒng),鋁電解監(jiān)控系統(tǒng)包括電解槽監(jiān)控系統(tǒng)和電動機(jī)監(jiān)控系統(tǒng)。根據(jù)以上內(nèi)容本人作了以下工作。第一,闡述了鋁電解故障診斷的意義,概述了鋁電解故障診斷國內(nèi)外的發(fā)展現(xiàn)狀及存在的問題,針對鋁電解故障診斷中還存在的問題,敘述了本課題的研究目的和研究意義,提出了自己的研究方法。第二,概述了鋁電解的工作原理及鋁電解的生產(chǎn)過程,論述了鋁電解過程中幾種常見的過程故障,以及鋁電解過程中常見的系統(tǒng)故障,并對這些故障進(jìn)行了簡單的介紹。第三,建立了鋁電解過程故障診斷模型,闡述了神經(jīng)網(wǎng)絡(luò)的基本原理,分析了神經(jīng)網(wǎng)絡(luò)在故障診斷的應(yīng)用可能性和必要性,論述了鋁電解過程中特征量的選取及輸入數(shù)據(jù)的處理,并采用蛙跳算法對神經(jīng)網(wǎng)絡(luò)的訓(xùn)練過程進(jìn)行了優(yōu)化,仿真實(shí)驗(yàn)驗(yàn)證了鋁電解過程故障診斷模型的可行性。第四,建立了鋁電解系統(tǒng)故障診斷模型,闡述了采用EMD算法對電動機(jī)故障信號進(jìn)行處理的優(yōu)越性,介紹了小波分析理論及小波包分析用于故障信號特征的提取,以及小波分析與神經(jīng)網(wǎng)絡(luò)的結(jié)合,仿真實(shí)驗(yàn)驗(yàn)證了鋁電解系統(tǒng)故障診斷模型的可行性。第五,以VB 6.0為開發(fā)平臺,設(shè)計了鋁電解監(jiān)控軟件。綜述了該軟件的總體思路和設(shè)計方案,并詳細(xì)介紹了監(jiān)控軟件的各個部分功能的實(shí)現(xiàn)過程。第六,對本文中所采用的鋁電解故障診斷方法進(jìn)行了總結(jié),并對鋁電解故障診斷今后的發(fā)展做了展望。
[Abstract]:Aluminum electrolysis process is one of many complex industrial processes. It has the characteristics of nonlinear, time-varying and large time-delay of complex industrial processes. In the process of aluminum electrolysis, there is not only the failure of electrolytic cell caused by the destruction of material balance and energy balance in the electrolytic cell, but also the fault caused by the fault of actuator motor in the process of electrolysis. In this paper, the fault of electrolysis cell is defined as the process fault of aluminum electrolysis, and the fault of actuator motor is defined as the fault of system. In this paper, a multi-fault diagnosis system for aluminum electrolysis is put forward, and the monitoring system of aluminum electrolysis is designed on the platform of VB 6.0. The multi-fault diagnosis system includes aluminum electrolysis process fault diagnosis system and aluminum electrolysis system fault diagnosis system. Aluminum electrolysis monitoring system includes electrolytic cell monitoring system and motor monitoring system. According to the above, I have done the following work. First, the significance of aluminum electrolysis fault diagnosis is expounded, the development status and existing problems of aluminum electrolysis fault diagnosis at home and abroad are summarized, and the research purpose and significance of this subject are described in allusion to the existing problems in aluminum electrolysis fault diagnosis. The author puts forward his own research method. Secondly, the working principle of aluminum electrolysis and the production process of aluminum electrolysis are summarized. Several common process faults in aluminum electrolysis process and common system faults in aluminum electrolysis process are discussed, and these faults are briefly introduced. Thirdly, the fault diagnosis model of aluminum electrolysis process is established, the basic principle of neural network is expounded, and the possibility and necessity of application of neural network in fault diagnosis are analyzed. The selection of characteristic quantity and the processing of input data in aluminum electrolysis process are discussed. The training process of neural network is optimized by using leapfrog algorithm. The feasibility of fault diagnosis model of aluminum electrolysis process is verified by simulation experiment. Fourthly, the fault diagnosis model of aluminum electrolysis system is established, and the superiority of using EMD algorithm to deal with the fault signal of motor is expounded. The wavelet analysis theory and wavelet packet analysis are used to extract the feature of fault signal. Combined with wavelet analysis and neural network, the feasibility of fault diagnosis model of aluminum electrolysis system is verified by simulation experiment. Fifthly, the monitoring software of aluminum electrolysis is designed based on VB 6.0. The general idea and design scheme of the software are summarized, and the realization process of the functions of each part of the monitoring software is introduced in detail. Sixth, the methods of aluminum electrolysis fault diagnosis used in this paper are summarized, and the future development of aluminum electrolysis fault diagnosis is prospected.
【學(xué)位授予單位】：沈陽建筑大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TQ133.1

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本文編號：2160889