模拟电解水槽的电压温度信号特征提取

发布时间：2018-05-06 09:53

本文选题：工业电解 + 希尔伯特黄变换　；参考：《北方工业大学》2015年硕士论文

【摘要】：工业电解过程是一个多变量时变、非线性、强耦合的复杂工业体系,整个电解过程在电解槽内进行,电解槽的状态会随着电解过程的进行而发生不断变化,槽电压、温度信号是反应电解槽运行状况的重要参数,因而对这两种参数的特征提取分析对电解过程具有重要意义。本课题的研究对象为实验室模拟电解水槽,采用希尔伯特黄变换对槽电压温度信号特征提取,整个过程在上位机进行。希尔伯特黄变换完全脱离了Fourier分析的框架,对非线性非平稳信号分析具有很好的效果,将原始信号按照局部时间尺度逐层分解,分析信号组成,得到信号主频特征。本文通过设计实验,采集不同槽况下槽电压、温度信号然后对其进行希尔伯特黄变换。经过经验模态分解及Hilbert谱分析,得到一系列不同特征尺度的本征模态函数,比较不同槽况下信号瞬时频率组成；对Hilbert在整个时间段上做积分得到Hilbert边际谱,比较不同槽况下信号频率能量分布。通过实验分析电解质波动、电解槽内辅助加热器工作状态在信号频率特征上的体现,以此为槽况识别诊断系统做准备。将希尔伯特黄变换应用于铝电解过程阳极压降信号处理,仿真结果表明希尔伯特黄变换能准确地描述阳极压降信号频率组分及信号主频特征,具有很高的实际应用价值,值得进一步深入研究。本课题用到的软件有Visual C++6.0、Sql Server2008、Matlab。Visual C++6.0实现串口数据通信、数据显示、数据库连接等功能；Sql Server2008数据库完成数据管理；Matlab调用数据库中数据实现信号处理分析功能。
[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.
【学位授予单位】：北方工业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TQ151;TN911.7

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