本文選題：工業(yè)電解 + 希爾伯特黃變換　； 參考：《北方工業(yè)大學》2015年碩士論文

【摘要】：工業(yè)電解過程是一個多變量時變、非線性、強耦合的復雜工業(yè)體系,整個電解過程在電解槽內(nèi)進行,電解槽的狀態(tài)會隨著電解過程的進行而發(fā)生不斷變化,槽電壓、溫度信號是反應電解槽運行狀況的重要參數(shù),因而對這兩種參數(shù)的特征提取分析對電解過程具有重要意義。 本課題的研究對象為實驗室模擬電解水槽,采用希爾伯特黃變換對槽電壓溫度信號特征提取,整個過程在上位機進行。希爾伯特黃變換完全脫離了Fourier分析的框架,對非線性非平穩(wěn)信號分析具有很好的效果,將原始信號按照局部時間尺度逐層分解,分析信號組成,得到信號主頻特征。 本文通過設計實驗,采集不同槽況下槽電壓、溫度信號然后對其進行希爾伯特黃變換。經(jīng)過經(jīng)驗模態(tài)分解及Hilbert譜分析,得到一系列不同特征尺度的本征模態(tài)函數(shù),比較不同槽況下信號瞬時頻率組成；對Hilbert在整個時間段上做積分得到Hilbert邊際譜,比較不同槽況下信號頻率能量分布。通過實驗分析電解質(zhì)波動、電解槽內(nèi)輔助加熱器工作狀態(tài)在信號頻率特征上的體現(xiàn),以此為槽況識別診斷系統(tǒng)做準備。 將希爾伯特黃變換應用于鋁電解過程陽極壓降信號處理,仿真結(jié)果表明希爾伯特黃變換能準確地描述陽極壓降信號頻率組分及信號主頻特征,具有很高的實際應用價值,值得進一步深入研究。 本課題用到的軟件有Visual C++6.0、Sql Server2008、Matlab。Visual C++6.0實現(xiàn)串口數(shù)據(jù)通信、數(shù)據(jù)顯示、數(shù)據(jù)庫連接等功能；Sql Server2008數(shù)據(jù)庫完成數(shù)據(jù)管理；Matlab調(diào)用數(shù)據(jù)庫中數(shù)據(jù)實現(xiàn)信號處理分析功能。
[Abstract]:The industrial electrolysis process is a complex industrial system with multivariable time-varying, nonlinear and strong coupling. The whole electrolysis process takes place in the electrolytic cell, and the state of the electrolytic cell changes continuously with the process of electrolysis, and the cell voltage. The temperature signal is an important parameter of the operation condition of the electrolytic cell, so it is very important to extract and analyze the characteristics of the two parameters in the electrolysis process. The research object of this paper is simulated electrolytic tank in laboratory. The characteristic of voltage and temperature signal is extracted by Hilbert-Huang transform, and the whole process is carried out on the upper computer. Hilbert-Huang transform is completely divorced from the framework of Fourier analysis and has a good effect on nonlinear non-stationary signal analysis. The original signal is decomposed layer by layer according to the local time scale and the signal composition is analyzed and the main frequency characteristics of the signal are obtained. In this paper, the channel voltage and temperature signal are collected under different slot conditions by designing experiments, and then Hilbert-yellow transform is carried out. Through empirical mode decomposition and Hilbert spectrum analysis, a series of eigenmode functions of different characteristic scales are obtained, and the instantaneous frequency components of signals under different channel conditions are compared. The marginal spectrum of Hilbert is obtained by integrating Hilbert over the whole time period. The frequency and energy distribution of signals under different channel conditions was compared. Through the experimental analysis of electrolyte fluctuation, the working state of auxiliary heater in the electrolytic cell is reflected in the signal frequency characteristic, so as to prepare for the diagnosis system of cell condition recognition. The Hilbert-Huang transform is applied to the anodic voltage drop signal processing in aluminum electrolysis process. The simulation results show that the Hilbert-Huang transform can accurately describe the anodic voltage drop signal frequency components and signal main frequency characteristics, and has high practical application value. It is worth further study. The software used in this subject includes Visual C 6.0 SQL Server 2008 Matlab. Visual C 6.0 to realize serial port data communication, data display, database connection and other functions. SQL Server2008 database completes data management. MATLAB calls data in database to realize signal processing and analysis.
【學位授予單位】：北方工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TQ151;TN911.7

【參考文獻】

相關期刊論文 前7條

1 李劍;寧佳欣;金卓睿;王有元;李溟;;變壓器局部放電在線監(jiān)測超高頻Hilbert分形天線研究[J];電力自動化設備;2007年06期

2 焦迎春;在VC中使用ADO操作數(shù)據(jù)庫[J];電腦編程技巧與維護;2005年02期

3 易克初,程俊;信號的廣義時頻表示[J];電子學報;1993年10期

4 禹丹江,任偉新;信號經(jīng)驗模式分解與間斷頻率[J];福州大學學報(自然科學版);2005年05期

5 王曉寧,朱德恒,李福祺,張繼強;現(xiàn)場局部放電信號中周期性窄帶干擾的抑制[J];高電壓技術(shù);2003年04期

6 蔡劍華;胡惟文;王先春;;基于邊際譜的功率譜估計方法[J];核電子學與探測技術(shù);2011年09期

7 于德介,程軍圣,楊宇;Hilbert能量譜及其在齒輪故障診斷中的應用[J];湖南大學學報(自然科學版);2003年04期

，

本文編號：1851853