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

【摘要】：變壓器是電力系統(tǒng)的關(guān)鍵設(shè)備,其運(yùn)行的可靠性影響著電網(wǎng)的運(yùn)行安全。統(tǒng)計(jì)結(jié)果表明變壓器繞組和鐵芯是變壓器故障的多發(fā)部件,變壓器表面振動(dòng)信號(hào)與繞組及鐵芯運(yùn)行狀態(tài)密切相關(guān),由此通過變壓器表面振動(dòng)信號(hào)的特征分析與提取,可準(zhǔn)確反映繞組與鐵芯的工作狀態(tài),進(jìn)而實(shí)現(xiàn)振動(dòng)法監(jiān)測(cè)變壓器運(yùn)行狀態(tài)。本文以運(yùn)行中變壓器表面三維振動(dòng)信號(hào)為研究對(duì)象,結(jié)合負(fù)載電流和運(yùn)行電壓對(duì)不同方向振動(dòng)信號(hào)的時(shí)域峰值特征、傅里葉變換頻譜特征和依據(jù)小波包分解法得到的能量譜特征進(jìn)行了分析總結(jié)。在特征分析的基礎(chǔ)上,針對(duì)變壓器表面振動(dòng)信號(hào)特征提取的需求,結(jié)合變壓器負(fù)載電流和運(yùn)行電壓數(shù)據(jù)對(duì)振動(dòng)信號(hào)進(jìn)行了能量、相關(guān)性和靈敏度分析,構(gòu)造了可用來表征變壓器繞組和鐵芯運(yùn)行狀態(tài)變化的特征向量,該向量可用于定量表示變壓器表面振動(dòng)信號(hào)頻點(diǎn)能量受負(fù)載電流和運(yùn)行電壓變化的影響,為變壓器的特征提取提供新的思路。變壓器運(yùn)行工況復(fù)雜多變,對(duì)其表面振動(dòng)信號(hào)具有顯著影響,本文參考風(fēng)電機(jī)組的區(qū)間劃分方法,完成了對(duì)變壓器運(yùn)行工況的劃分。結(jié)合特征向量和各工況下振動(dòng)信號(hào)的能量分布,設(shè)定了變壓器振動(dòng)異常判定準(zhǔn)則,用于變壓器的在線監(jiān)測(cè)。
[Abstract]:Transformer is the key equipment in power system. The reliability of transformer affects the safety of power system. The statistical results show that transformer windings and iron cores are the frequent components of transformer faults, and the vibration signals on the surface of transformers are closely related to the operating state of the windings and cores. Therefore, the characteristic analysis and extraction of the vibration signals on the surface of the transformers are carried out. It can accurately reflect the working state of winding and iron core, and then realize the vibration method to monitor the operating state of transformer. In this paper, three dimensional vibration signals of transformer surface in operation are taken as the research object, and the time domain peak characteristics of vibration signals in different directions are combined with load current and operating voltage. The spectrum features of Fourier transform and the energy spectrum obtained by wavelet packet decomposition are analyzed and summarized. Based on the characteristic analysis, the energy, correlation and sensitivity of the vibration signal are analyzed by combining the load current and the running voltage data of the transformer, aiming at the demand of feature extraction of the vibration signal on the surface of the transformer. The eigenvector, which can be used to represent the change of transformer winding and core operation state, is constructed. The vector can be used to quantitatively express the influence of load current and operating voltage on the frequency point energy of vibration signal on the surface of transformer. It provides a new idea for feature extraction of transformer. The operation conditions of transformers are complex and changeable, which have a significant effect on the surface vibration signals. This paper, referring to the partition method of wind turbine units, completes the partition of transformer operating conditions. Based on the eigenvector and the energy distribution of vibration signals under different working conditions, the criterion of transformer vibration anomaly is set up, which is used for on-line monitoring of transformers.
【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)】：TN911.7;TM41

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 張彬;徐建源;陳江波;李輝;林莘;臧狀;;基于電力變壓器振動(dòng)信息的繞組形變?cè)\斷方法[J];高電壓技術(shù);2015年07期

2 薛浩然;張珂珩;李斌;彭晨輝;;基于布谷鳥算法和支持向量機(jī)的變壓器故障診斷[J];電力系統(tǒng)保護(hù)與控制;2015年08期

3 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

4 顧煜炯;蘇璐瑋;鐘陽(yáng);徐婷;;基于區(qū)間劃分的風(fēng)電齒輪箱在線故障預(yù)警方法[J];電力科學(xué)與工程;2014年08期

5 馬宏忠;趙宏飛;陳楷;王春寧;吳益明;黃朝志;;基于振動(dòng)的變壓器鐵芯松動(dòng)判定方法[J];電力系統(tǒng)自動(dòng)化;2013年14期

6 董玉亮;李亞瓊;曹海斌;何成兵;顧煜炯;;基于運(yùn)行工況辨識(shí)的風(fēng)電機(jī)組健康狀態(tài)實(shí)時(shí)評(píng)價(jià)方法[J];中國(guó)電機(jī)工程學(xué)報(bào);2013年11期

7 王春寧;張贏;陳楷;馬宏忠;;變壓器繞組短路振動(dòng)信號(hào)的高低頻能量分析[J];電力系統(tǒng)及其自動(dòng)化學(xué)報(bào);2013年02期

8 馬宏忠;耿志慧;陳楷;王春寧;李凱;李勇;;基于振動(dòng)的電力變壓器繞組變形故障診斷新方法[J];電力系統(tǒng)自動(dòng)化;2013年08期

9 馮永新;鄧小文;范立莉;劉石;王飛;肖小清;;大型電力變壓器振動(dòng)法故障診斷與發(fā)展趨勢(shì)[J];變壓器;2009年10期

10 曾憲偉;趙衛(wèi)明;盛菊琴;;小波包分解樹結(jié)點(diǎn)與信號(hào)子空間頻帶的對(duì)應(yīng)關(guān)系及其應(yīng)用[J];地震學(xué)報(bào);2008年01期

相關(guān)博士學(xué)位論文 前2條

1 鄭含博;電力變壓器狀態(tài)評(píng)估及故障診斷方法研究[D];重慶大學(xué);2012年

2 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4條

1 苗青;電力變壓器鐵心線圈組松動(dòng)的振動(dòng)監(jiān)測(cè)方法研究[D];華北電力大學(xué);2015年

2 季國(guó)賓;電力變壓器振動(dòng)特征監(jiān)測(cè)與異常檢測(cè)研究[D];華北電力大學(xué);2014年

3 林愛弟;變壓器繞組振動(dòng)特征提取及其狀態(tài)識(shí)別方法研究[D];浙江大學(xué);2014年

4 白靜波;基于小波包變換和模糊神經(jīng)網(wǎng)絡(luò)的輸電線路故障診斷研究[D];太原理工大學(xué);2013年

，

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