本文選題：變壓器 + 繞組��； 參考：《華北電力大學(xué)》2017年碩士論文

【摘要】：近年來,我國(guó)大量建設(shè)特高壓變電站,提升電網(wǎng)的電壓等級(jí)。變壓器作為電網(wǎng)的樞紐設(shè)備,分析評(píng)估其運(yùn)行健康狀況有利于保證電力系統(tǒng)的安全穩(wěn)定運(yùn)行。本文理論分析了繞組所受預(yù)緊力大小與振動(dòng)信號(hào)加速度間的關(guān)系,研究了繞組軸向不同位置處固有頻率的分布規(guī)律,提出了基于集合經(jīng)驗(yàn)?zāi)B(tài)分解和負(fù)熵準(zhǔn)則的單通道變壓器振動(dòng)信號(hào)盲分離方法,并基于振動(dòng)信號(hào)數(shù)據(jù)對(duì)變壓器運(yùn)行健康狀況進(jìn)行評(píng)估。主要工作如下:根據(jù)繞組軸向振動(dòng)彈簧質(zhì)量塊模型,分析了繞組所受預(yù)緊力大小與振動(dòng)加速度幅值之間的關(guān)系。計(jì)及繞組自身重力和安培力穩(wěn)態(tài)分量影響,對(duì)繞組線餅單元進(jìn)行受力分析,得出繞組軸向固有頻率的分布規(guī)律。通過分析實(shí)際運(yùn)行變壓器振動(dòng)信號(hào)數(shù)據(jù),驗(yàn)證了理論分析的正確性。提出了基于集合經(jīng)驗(yàn)?zāi)B(tài)分解和負(fù)熵準(zhǔn)則的變壓器振動(dòng)信號(hào)盲源分離方法,與傳統(tǒng)盲源分離方法相比,其通過信號(hào)升維處理將欠定盲源分離問題轉(zhuǎn)化為適定盲源分離問題,實(shí)現(xiàn)了從單通道混合振動(dòng)信號(hào)中分離得到各個(gè)振動(dòng)源信號(hào)。通過對(duì)仿真和實(shí)測(cè)信號(hào)進(jìn)行分析,并與Fast ICA分離結(jié)果進(jìn)行對(duì)比,驗(yàn)證了所提方法的有效性。提出了一種基于多測(cè)點(diǎn)振動(dòng)信號(hào)頻譜分布特征的變壓器狀態(tài)評(píng)估方法。選取頻率復(fù)雜度和振動(dòng)信號(hào)各頻段能量分布百分比作為特征指標(biāo),分析變壓器振動(dòng)信號(hào)頻譜分布特征。通過計(jì)算各測(cè)點(diǎn)頻段能量分布百分比的相關(guān)性,評(píng)估變壓器運(yùn)行健康狀況。
[Abstract]:In recent years, a large number of UHV substations have been built in China to enhance the voltage level of the power grid. Transformer is the hub equipment of power network. It is helpful to ensure the safe and stable operation of power system by analyzing and evaluating its running health. In this paper, the relationship between the magnitude of the pretightening force and the acceleration of the vibration signal is analyzed theoretically, and the distribution of the natural frequency at different positions of the winding is studied. A blind separation method for vibration signals of single-channel transformers based on set empirical mode decomposition and negative entropy criterion is proposed, and the operating health of transformers is evaluated based on vibration signal data. The main work is as follows: according to the mass block model of the axial vibration spring, the relationship between the magnitude of the pretightening force and the amplitude of the vibration acceleration is analyzed. Considering the influence of the steady state component of the winding gravity and ampere force, the distribution of the natural frequency of winding axial direction is obtained by analyzing the force of the winding wire-cake unit. The correctness of the theoretical analysis is verified by analyzing the vibration signal data of the actual operating transformer. A blind source separation method for transformer vibration signal based on set empirical mode decomposition and negative entropy criterion is proposed. Compared with the traditional blind source separation method, the problem of under-determined blind source separation is transformed into a suitable blind source separation problem by signal dimension raising processing. Each vibration source signal can be separated from the single channel mixed vibration signal. The effectiveness of the proposed method is verified by analyzing the simulated and measured signals and comparing with the Fast ICA separation results. In this paper, a method for evaluating transformer state based on the spectrum distribution of vibration signals at multiple measurement points is presented. The frequency complexity and the percentage of energy distribution in each frequency band of the vibration signal are selected as the characteristic indexes to analyze the spectrum distribution characteristics of the transformer vibration signal. By calculating the correlation of the percentage of energy distribution in each measuring point, the operating health of transformer is evaluated.
【學(xué)位授予單位】：華北電力大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TM41

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 汲勝昌;張凡;錢國(guó)超;朱葉葉;董鴻魁;鄒德旭;;穩(wěn)態(tài)條件下變壓器繞組軸向振動(dòng)特性及其影響因素[J];高電壓技術(shù);2016年10期

2 劉寶穩(wěn);馬宏忠;李凱;許洪華;陳冰冰;;大型變壓器繞組軸向固有頻率振動(dòng)分布特性與試驗(yàn)分析[J];高電壓技術(shù);2016年07期

3 孫翔;何文林;詹江楊;鄭一鳴;劉浩軍;周建平;;電力變壓器繞組變形檢測(cè)與診斷技術(shù)的現(xiàn)狀與發(fā)展[J];高電壓技術(shù);2016年04期

4 弓杰偉;馬宏忠;姜寧;王春寧;李勇;周宇;;電力變壓器的有限元建模與繞組松動(dòng)分析[J];電力自動(dòng)化設(shè)備;2016年04期

5 馬宏忠;弓杰偉;李凱;許洪華;周宇;;基于ANSYS Workbench的變壓器繞組松動(dòng)分析及判定方法[J];高電壓技術(shù);2016年01期

6 王春寧;耿志慧;馬宏忠;金基平;李凱;;基于振動(dòng)的電力變壓器鐵心松動(dòng)故障診斷研究[J];高壓電器;2015年12期

7 馬宏忠;周宇;李凱;許洪華;王濤云;;基于振動(dòng)的變壓器繞組壓緊狀態(tài)評(píng)估方法[J];電力系統(tǒng)自動(dòng)化;2015年18期

8 院一敏;李宗恩;武曉明;;運(yùn)行中電力變壓器表面三維振動(dòng)信號(hào)小波分析[J];電測(cè)與儀表;2015年15期

9 朱葉葉;汲勝昌;張凡;劉勇;董鴻魁;崔志剛;吳佳瑋;;電力變壓器振動(dòng)產(chǎn)生機(jī)理及影響因素研究[J];西安交通大學(xué)學(xué)報(bào);2015年06期

10 趙志剛;李光范;李金忠;張書琦;劉銳;高飛;;基于有限元法的大型電力變壓器抗短路能力分析[J];高電壓技術(shù);2014年10期

相關(guān)博士學(xué)位論文 前1條

1 吳書有;基于振動(dòng)信號(hào)分析方法的電力變壓器狀態(tài)監(jiān)測(cè)與故障診斷研究[D];中國(guó)科學(xué)技術(shù)大學(xué);2009年

相關(guān)碩士學(xué)位論文 前5條

1 王碩輝;基于振動(dòng)法運(yùn)行變壓器繞組狀態(tài)監(jiān)測(cè)的研究[D];沈陽(yáng)工業(yè)大學(xué);2016年

2 王澤波;基于振動(dòng)分析法的變壓器特性和狀態(tài)監(jiān)測(cè)方法研究[D];浙江大學(xué);2014年

3 張冬雪;基于小波理論的電力變壓器振動(dòng)信號(hào)特性研究[D];華北電力大學(xué);2011年

4 張雪冰;變壓器油箱振動(dòng)功率流與繞組故障非電量監(jiān)測(cè)方法研究[D];上海交通大學(xué);2009年

5 王謙;基于模糊理論的電力變壓器運(yùn)行狀態(tài)綜合評(píng)估方法研究[D];重慶大學(xué);2005年

，

本文編號(hào)：1967141