發(fā)布時(shí)間：2018-03-15 23:34

  本文選題：電力變壓器　切入點(diǎn)：振動(dòng)　出處：《華北電力大學(xué)》2014年碩士論文　論文類(lèi)型：學(xué)位論文

【摘要】：電力變壓器作為電力系統(tǒng)中最重要的設(shè)備之一,它的正常運(yùn)行直接關(guān)系到整個(gè)電力系統(tǒng)的安全穩(wěn)定。而在長(zhǎng)期運(yùn)行過(guò)程中,變壓器鐵心與繞組難免會(huì)出現(xiàn)異常,引發(fā)電力變壓器故障。為了能及時(shí)發(fā)現(xiàn)電力變壓器的故障隱患,提高電力變壓器的運(yùn)行可靠性,開(kāi)展對(duì)變壓器振動(dòng)信號(hào)在線(xiàn)監(jiān)測(cè)的研究具有重要意義。 本文首先設(shè)計(jì)了電力變壓器振動(dòng)在線(xiàn)監(jiān)測(cè)系統(tǒng),采用LabVIEW軟件開(kāi)發(fā)了振動(dòng)在線(xiàn)監(jiān)測(cè)系統(tǒng)平臺(tái),實(shí)現(xiàn)了對(duì)變壓器振動(dòng)信號(hào)的在線(xiàn)監(jiān)測(cè),可實(shí)時(shí)不間斷監(jiān)測(cè)變壓器油箱表面12個(gè)位置的振動(dòng)信號(hào),觀測(cè)振動(dòng)信號(hào)的主頻、頻譜圖、趨勢(shì)圖等相關(guān)信息,并開(kāi)發(fā)了歷史數(shù)據(jù)分析模塊,實(shí)現(xiàn)對(duì)電力變壓器振動(dòng)信號(hào)的全方位監(jiān)測(cè)。 基于頻譜圖對(duì)變壓器不同測(cè)點(diǎn)處的振動(dòng)信號(hào)進(jìn)行了分析研究。研究發(fā)現(xiàn),同型號(hào)變壓器同一測(cè)點(diǎn)處的振動(dòng)信號(hào)、變壓器三相同一測(cè)點(diǎn)處的振動(dòng)信號(hào)具有相似的特征頻率,但各主頻的幅值差異較大；變壓器同相上下位置處的振動(dòng)信號(hào)、同相高低壓套管兩側(cè)對(duì)稱(chēng)位置處的振動(dòng)信號(hào)在主要特征頻率及各頻率的幅值上都比較相似。因此在精度要求不高的情況下可以按上述結(jié)論減少測(cè)點(diǎn),能夠節(jié)約成本并且大大減少日后分析數(shù)據(jù)的工作量。 基于小波包變換對(duì)變壓器振動(dòng)信號(hào)做了分析研究。根據(jù)小波包變換的原理,對(duì)待分析的振動(dòng)信號(hào)進(jìn)行3層小波包分解,將原始信號(hào)分解為8個(gè)不同頻段的信號(hào),分別提取其能量特征,構(gòu)造其能量特征向量,將該向量與歷史振動(dòng)數(shù)據(jù)庫(kù)提取出的指紋量進(jìn)行對(duì)比,進(jìn)而診斷出變壓器鐵心及繞組的運(yùn)行狀況。并采用該方法對(duì)一組振動(dòng)信號(hào)進(jìn)行了實(shí)例分析,其結(jié)果表明該方法可以有效診斷出變壓器鐵心及繞組的異常狀況。
[Abstract]:As one of the most important equipments in power system, the normal operation of power transformer is directly related to the safety and stability of the whole power system. In order to find the hidden trouble of power transformer in time and improve the reliability of power transformer, it is of great significance to study the on-line monitoring of transformer vibration signal. In this paper, the on-line vibration monitoring system of power transformer is designed, and the platform of on-line vibration monitoring system is developed by using LabVIEW software. The on-line monitoring of transformer vibration signal is realized. The vibration signal of 12 positions on the surface of the oil tank of transformer can be monitored continuously in real time, and the main frequency, spectrum diagram, trend chart and other related information of the vibration signal can be observed, and the historical data analysis module has been developed. Realize the omni-directional monitoring of power transformer vibration signal. Based on the spectrum diagram, the vibration signals at different measuring points of transformers are analyzed and studied. It is found that the vibration signals of the same type transformers at the same measuring point and the vibration signals at the same measuring points of three phases of transformers have similar characteristic frequencies. But the amplitude of each main frequency varies greatly. The vibration signal at the symmetrical position on both sides of the in-phase high and low pressure casing is similar in the main characteristic frequency and the amplitude of each frequency. Therefore, if the precision requirement is not high, the measuring points can be reduced according to the above conclusion. Can save cost and greatly reduce the amount of data analysis in the future. Based on wavelet packet transform, transformer vibration signal is analyzed and studied. According to the principle of wavelet packet transform, the vibration signal is decomposed into 8 different frequency bands by three layers wavelet packet decomposition. The energy feature is extracted, and the energy feature vector is constructed, and compared with the fingerprint extracted from the historical vibration database. Furthermore, the operation condition of transformer core and winding is diagnosed, and a group of vibration signals are analyzed by using this method. The results show that this method can effectively diagnose the abnormal condition of transformer core and winding.
【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】：2014
【分類(lèi)號(hào)】：TM41

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