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研究生:薛聿明
研究生(外文):HSUEH, YU-MIN
論文名稱:運用頻譜分析法於電氣設備之故障診斷系統研製
論文名稱(外文):Development of Fault Diagnosis System for Electrical Equipment Using Spectral Analysis
指導教授:郭政謙
指導教授(外文):Kuo Cheng-Chien
口試委員:陳鴻誠陳汝吟陳輔賢郭政謙徐椿樑
口試委員(外文):CHEN, HONG-CHENJu-yin ChenFu-Hsien ChenKuo Cheng-ChienHsu Chun-Liang
口試日期:2014-07-21
學位類別:碩士
校院名稱:聖約翰科技大學
系所名稱:電機工程系碩士班
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2014
畢業學年度:102
語文別:中文
論文頁數:38
中文關鍵詞:頻譜分析繞組故障檢測鍋爐洩漏檢測
外文關鍵詞:Spectrogram AnalysisWinding DeformationTube Leak Detection
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本論文依據傅立葉變換(Fourier transform)理論做頻譜(Spectrogram)分析,研製一套電氣設備之故障診斷系統。
本研究系統之電力變壓器故障診斷,使用National Instruments公司所生產的NI-5402 FGEN作為檢測之訊號產生器,並搭配NI-5124 SCOPE擷取響應之電壓訊號,分別連接在待測物的輸入端與輸出端,經由傅立葉轉換可以得到峰值及角度,並畫出頻譜圖,最後選擇DL/T911、IEEE、IEC變壓器檢測標準進行分析。
本研究系統之鍋爐洩漏即時檢測與警示,使用MPS擷取IEPE感測元件之訊號,將即時電壓及頻譜顯示於螢幕上便於觀察,可設定即時檢測系統判斷規則,當條件成立時輸出警示訊號,或錄製成檔案做更進一步考核分析。
此電氣設備故障診斷系統之軟體主要是運用JAVA程式撰寫,而驅動程式則是使用C語言連結各個硬體裝置,基本上軟體不會局限於Lab view CVI之介面與功能,硬體設備也不會限定於某些製造商,達到軟硬體模組化與可擴充性的功能取向,同時還兼具高度經濟效益的附加價值。

This Master’s thesis is about the development of a fault diagnosis software for electrical equipment using spectral analysis based on Fourier transform theory.
The signal generator and oscilloscope used to test the software were NI-5402 FGEN and NI-5124 SCOPE, respectively. The function generator is used as an input to the hardware that needs to be tested. The oscilloscope is connected to the output of the hardware. Then use DL/T911、IEEE、IEC standard to analyse power transforms are fine.
In this study, the software can simultaneously capture IEPE signal, display the real-time voltage data on screen, perform real-time spectrum analysis, record a file to do further assessment analysis, set certain rules for the detection of real time signals, and output warning signals when some of the set conditions are met.
This electrical equipment fault diagnosis system software was written in JAVA, while the driver was written in C to link various hardware devices. The software functionality is not limited to just Labview CVI. The hardware is not limited to certain manufacturers either. The modularity and scalability features of both the software and hardware possess a high degree of economic value.

論文摘要
ABSTRACT
誌謝
目錄
圖目錄
表目錄
第一章 緒論
1.1 研究背景與動機
1.2 研究目的
1.3 研究範圍與限制
1.4 名詞釋義
1.4.1 頻率響應分析 (Frequency Response Analysis)
1.4.2 集成電路壓電式感測器 (Integrated Electronic Piezoelectric)
1.5 論文架構
第二章 文獻探討
2.1 變壓器繞組故障檢測
2.1.1 中華人民共和國電力行業標準
2.2 鍋爐洩漏檢測
2.2.1 洩漏理論
第三章 研究方法與步驟
3.1 系統的功能與規劃
3.2 硬體裝置介紹
3.2.1 NI PXI-5124
3.2.2 NI PXI-5402
3.2.3 MPS-140801-IEPE
3.3 軟體技術說明
3.4 開發工具應用
3.5 軟體設計流程
3.5.1 應用主程式單元
3.5.2 模組功能單元
3.5.3 核心程式運算單元
3.5.4 驅動程式單元
第四章 實驗結果與分析
4.1 電力變壓器故障診斷
4.2 鍋爐洩漏即時檢測與警示
4.2.1 即時訊號顯示功能
4.2.2 歷史紀錄功能
4.2.3 智慧監聽功能
第五章 結論與未來展望
5.1 結論
5.2 未來展望
參考文獻

[1]K. Ludwikowski, and K. Siodla, “Investigation of Transformer Model Winding Deformation Using Sweep Frequency Response Analysis,” IEEE Transactions on Dielectrics and Electrical Insulation, Vol. 19, No. 6; December 2012
[2]Mehdi Bagheri, Mohammad Salay Naderi, Trevor Blackburn, and B. T. Phung , “Frequency Response Analysis and Short-Circuit Impedance Measurement in Detection of Winding Deformation Within Power Transformers,” IEEE, Vol. 29, No. 3, 2013
[3]Z. Wang, J. Li, and D. M. Sofian, “Interpretation of transformer FRAresponses—Part I: Influence of winding structure,” IEEE Trans. PowerDel., vol. 24, no 2, pp.703–710, 2009.
[4]M. Bagheri, M. S. Naderi, and T. Blackburn, “Advanced transformer winding deformation diagnosis: Moving from off-line to on-line,” IEEE Trans. Dielectr. Electr. Insul., vol. 19, no. 6, pp. 1860–1870, 2012.
[5]A. A. Reykherdt and V. G. Davydov, “Effects of test cable ground extensions on repeatability of frequency response analysis measurements on power transformers,” IEEE Electr. Insul. Mag., vol. 28, pp. 26–31, 2012.
[6]A. A. Reykherdt and V. G. Davydov, “Case studies of factors influencing frequency response analysis measurements and power transformer diagnostics,” IEEE Electr. Insul. Mag., vol. 27, pp. 22–30, 2011.
[7]M. Bagheri, M. S. Naderi, T. Blackburn, and D. Zhang, “Transformer frequency response analysis: A mathematical approach to interpret midfrequency oscillations,” in IEEE International Conference on Power Energy (PECON’12), Kota Kinabalu, Malaysia, 2–5 Dec., 2012, pp. 927–931.
[8]M. Bagheri, M. S. Naderi, and T. Blackburn, “Advanced transformer winding deformation diagnosis: Moving from off-line to on-line,” IEEE Trans. Dielectr. Electr. Insul., vol. 19, no. 6, pp. 1860–1870, 2012.
[9]J. R. Secue and E. Mombello, “Sweep frequency response analysis (SFRA) for the assessment of winding displacements and deformation in power transformers,” Electr. Power Syst. Res., vol. 78, pp. 1119–1128, 2008.
[10]M. Wang, A. J. Vandermaar, and K. D. Srivastava, “Improved detection of power transformer winding movement by extending the FRA high frequency range,” IEEE Trans. Power Del., vol. 20, pp. 1930–1938, 2005.
[11]IEPE, http://digital.ni.com/public.nsf/allkb/D0580DB27AAFA5398625732F00224EEA
[12]M. F. M. Yousof, C. Ekanayake1 and T. K. Saha, “Study of Transformer Winding Deformation by Frequency Response Analysis,” IEEE, 2013
[13]中華人民共和國國家發展和改革委員會,電力變壓器繞組變形的頻率響應分析法,中華人民共和國電力行業標準,2004
[14]Dong-Hyun Kim, and Bo-Suk Yang, “3D Boiler Tube Leak Detection Technique Using Acoustic Emission signals for Power Plant Structure Health Monitoring,” Prognostics & System Health Management Conference, 2011
[15]NI-SCOPE, http://sine.ni.com/nips/cds/view/p/lang/zht/nid/12638
[16]NI-FGEN, http://sine.ni.com/nips/cds/view/p/lang/zht/nid/13629
[17]MPS-140801-IEPE, IEPE傳感器8通道24位USB信號採集卡使用說明
[18]Java, http://zh.wikipedia.org/wiki/Java
[19]Apache Commons, http://commons.apache.org/
[20]JNI, http://en.wikipedia.org/wiki/Java_Native_Interface
[21]NetBeans Platform, https://netbeans.org/features/platform/
[22]Google Code, http://zh.wikipedia.org/wiki/Google_Code
[23]Git, http://zh.wikipedia.org/wiki/Git
[24]Apache Maven, http://zh.wikipedia.org/wiki/Apache_Maven
[25]Sonatype OSS Repository Hosting, http://central.sonatype.org/pages/ossrh-guide.html
[26]Getting Started with NI-SCOPE, http://www.ni.com/white-paper/3382/en/
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