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基于變壓器缺陷數(shù)據(jù)的故障預(yù)測研究_大學(xué)本科畢業(yè)論文-展示頁

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【正文】 ............. 6 變壓器介紹 ......................................................................................................... 6 變壓器原理 .................................................................................................. 6 變壓器分類 .................................................................................................. 6 變壓器的基本結(jié)構(gòu) ...................................................................................... 6 變壓器的安裝方式 ...................................................................................... 7 變壓器故障分析 ................................................................................................. 8 結(jié)論 ................................................................................................................... 13 本章小結(jié) ........................................................................................................... 15 第 3 章 變壓器油中溶解氣體與 故障的關(guān)系 .......................................... 16 變壓器油中溶解氣體的來源 ........................................................................... 16 變壓器油中氣體特征 ....................................................................................... 16 過熱故障 .................................................................................................... 16 放電故障 .................................................................................................... 17 受潮 ............................................................................................................ 17 變壓器故障診斷的依據(jù) ................................................................................... 18 變壓器內(nèi)部絕緣故障的三比值法 ................................................................... 18 小結(jié) ................................................................................................................... 20 第 4 章 灰色 GM(1,1)預(yù)測方法 .............................................................. 21 灰色預(yù)測簡介 ................................................................................................... 21 GM(1, 1)數(shù)據(jù)處理方法 ................................................................................... 21 GM(1,1)等時間間隔序列預(yù)測算法 .................................................................. 22 GM(1,1)非等時間間隔序列預(yù)測算法 .............................................................. 24 GM(1,1)算法 殘差檢驗 ...................................................................................... 25 GM(1,1)非等時間間隔 matlab 程序代碼 ......................................................... 26 本章小結(jié) ........................................................................................................... 28 第 5 章 變壓器的故障預(yù)測及實例 ..................................................................... 29 變壓器的故障預(yù)測 ........................................................................................... 29 基于油中溶解氣體數(shù)據(jù) 的變壓器故障預(yù)測 ................................................... 29 實例 1......................................................................................................... 29 實例 2......................................................................................................... 30 誤差檢驗 ........................................................................................................... 30 本章小結(jié) ........................................................................................................... 31 第 6 章 結(jié)論與展望 ................................................................................................ 32 結(jié)論 ................................................................................................................... 32 展望 ................................................................................................................... 33 參考文獻 ........................................................................................ 錯誤 !未定義書簽。s fault nowadays, but continuous period of gas sampling data is less, so I use the data of year 1984 and year 1993. In addition, most forms of the selected data shows an increasing, while the gray theory has better prediction results for increasing numbers than other model, and gray theory has less raw data needed to calculate pay a single method to predict the characteristics of high precision, so I chose the gray theory to forecast oil gas data. Through the establishment of gray prediction model, and bined with three ratios fault diagnosis method to establish a transformer failure prediction model based on dissolved gas data. Finally, the predicted results are pared with the actual situation, obtained the inadequacies of design results and propose the further research directions. Key words: transformer。s fault based on the DGA data and three ratios fault diagnosis method. Since that we mainly use one day39。s reliability and user39。 關(guān)鍵詞: 變壓器;故障預(yù)測;灰色理論 III ABSTRACT As the most important substation equipment, power transformer plays all important role in the power system. It39。 通過建立灰色預(yù)測模型,并結(jié)合三比值故障判斷法,建立基于油中溶解氣體數(shù)據(jù)的變壓器故障預(yù)測模型。由于目前電力系統(tǒng)中主要采取某一天油中氣體進行當(dāng)天的故障判斷,而連續(xù)一段時間的氣體采樣數(shù)據(jù)較少,所以本文選用 84年 93年的數(shù)據(jù)。 因此,對變壓器故障預(yù)測進行研究具有重要的理論意義和工程實用。 變壓器一旦發(fā)生事故,造成的直接和間接的經(jīng)濟損失是巨大的。本學(xué)位論文的知識產(chǎn)權(quán)歸屬于培養(yǎng)單位。盡我所知,除文中已經(jīng)注明引用的內(nèi)容外,本學(xué)位論文的研究成果不包含他人享有著作權(quán)的內(nèi)容。 大學(xué)本科畢業(yè)論文 基于變壓器缺陷數(shù)據(jù)的故障預(yù)測研究 BACHELOR39。S DEGREE THESIS OF WUHAN UNIVERSITY Research on the predicting of Power Transformer’s fault based on defect data College : Subject : Name : Director : June 2020 I 鄭 重 聲 明 本人 呈交的學(xué)位論文,是在導(dǎo)師的指導(dǎo)下,獨立進行研究工作所取得的成果,所有數(shù)據(jù)、圖片資料真實可靠。對本論文所涉及的研究工作做出貢獻的其他個人和集體,均已在文中以明確的方式標(biāo)明。 本人簽名: 日期: II 摘 要 電力變壓器是最重要的變電設(shè)備,在電力系統(tǒng)中處于樞紐地位,其運行狀態(tài)直接影響著整個電力系統(tǒng)的穩(wěn)定性、安全性和可靠性。對電力變壓器的故障進行有效的預(yù)測,既可給維護人員提供必要的參考以避免維修不足或過度維修,又可以保證供電的可靠性和用戶的人生安全。 本文對電力系統(tǒng)中常用的油浸式變壓器,基于油中溶解氣體數(shù)據(jù)以及三比值故障判
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