(44.192.112.123) 您好!臺灣時間:2021/03/06 07:50
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果

詳目顯示:::

我願授權國圖
: 
twitterline
研究生:蔡函學
研究生(外文):Han-Hsuch Tsai
論文名稱:質子交換膜燃料電池故障預測系統 之研究
論文名稱(外文):Research of Fault Forecasting System for Proton Exchange Membrane Fuel Cells
指導教授:王孟輝王孟輝引用關係
指導教授(外文):Meng -Hui, Wang
學位類別:碩士
校院名稱:國立勤益科技大學
系所名稱:電機工程系
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:2011
畢業學年度:99
語文別:中文
論文頁數:112
中文關鍵詞:質子交換膜燃料電池物元模型灰色預測可拓評價方法可拓類神經網路
外文關鍵詞:Proton Exchange Membrane Fuel CellMatter-Element ModelGray PredictionExtension MethodExtension Neural Network
相關次數:
  • 被引用被引用:5
  • 點閱點閱:178
  • 評分評分:系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔
  • 下載下載:33
  • 收藏至我的研究室書目清單書目收藏:0
中文摘要
隨著科技的進步,燃料電池逐漸具有商業運用之價值,燃料電池因具有低汙染的特點,各國均積極投入開發燃料電池的技術與應用;但燃料電池發電在操作時,很容易受燃料之純度、流量、電池堆溫度、積水效應與負載電流等因素而影響其操作性能,進而導致燃料電池供電不穩;故有必要建構一套狀態監測及預測故障的系統,防止系統操作錯誤導致永久損壞。本論文旨在發展一套狀態監測及預測故障的系統運用於質子交換膜燃料電池,首先使用一套感測模組,配合Zigbee無線傳輸系統完成燃料電池狀態監測;其次,利用無線感測模組建立燃料電池之電壓、電流、電池堆溫度與供應氣體之氣壓等數據之資料,同時利用LabVIEW 人機介面建立此故障預測系統,讓使用者能預先得知系統故障狀態,以便更換元件或切換運轉狀態,達到防範未然之目標。
本論文中將燃料電池系統分成7 類故障,並利用13 種特徵建立故障診斷之物元模型。由於燃料電池輸入和輸出具有時間延遲現象,因此本論文利用灰色預測模型預測燃料電池的特徵訊號,分別應用可拓評價方法與可拓類神經網路進行故障預測和診斷,並和其他傳統方法比較其實用性;經實測200W 之質子交換膜燃料電池的實驗結果驗證提之診斷系統較其它方法具有準確率高、訓練時間短及結構簡單等點。
Abstract
With advancements in technology, the using of fuel cells (FCs) gradually gains commercial value due to low pollution, and many countries are actively developing FCs technologies and applications. However, during power generation of FCs, its operation may be affected by fuel purity and flow, as well as stack temperature resulting in an instable power supply. Many studies have developed FCs fault forecasting systems that can prevent operating errors leading to permanent damage. This paper has developed a FC fault forecasting system using to proton exchange membrane fuel cells (PEMFC). Firstly, a set of Zigbee wireless sensors with a PC to achieve FCs condition monitoring. The sensor modules are used to construct the data for FCs voltage, current, temperature, and supplied gas pressure. The fault forecasting system is constructed with a Labview human-machine interface, thus, users can forecast the system fault conditions, and replace the system components to prevent future risks.
The system divides faults into 7 fault types, and each fault type has 13 kinds of experimental features to construct the matter-element model. Due to the time delay condition of FCs reactions, this paper first forecasted all operational features of FCs using a gray prediction model. Fault diagnosis uses the extension method and an extension neural network (ENN) to demonstrate the effectiveness of the proposed method, and compares testing results in a 200W PEMFC with other traditional methods. The experimental results confirmed that the proposed diagnostic system has a very high accuracy, fast learning, and simple structure.
中文摘要 ................................................. I
英文摘要 ................................................ II
誌謝 .................................................... IV
目錄 ..................................................... V
圖目錄 ................................................ VIII
表目錄 .................................................. XI
符號說明 ............................................... XII
第一章 緒論 .............................................. 1
1. 1 研究背景與目的 .................................... 1
1. 2 文獻回顧 .......................................... 2
1.3 研究方法 ........................................... 4
1.4 論文大綱 ........................................... 5
第二章 燃料電池簡介 ...................................... 7
2. 1 前言 .............................................. 7
2. 2 燃料電池之種類 .................................... 7
2. 3 燃料電池之特色 ................................... 10
2. 4 燃料電池發電原理 ................................. 11
2.4. 1 質子交換膜燃料電池 ........................... 12
2.4. 2 質子交換膜燃料電池單電池結構 ................. 13
2.4. 3 質子交換膜燃料電池原理與特點 ................. 14
2.4. 4 質子交換膜燃料電池之模型 ..................... 15
2. 5 模擬質子交換膜燃料電池數學模型 ................... 19
2.5. 1 電池堆溫度對電池性能之影響 ................... 21
2.5. 2 氫氧之氣壓對電池性能之影響 ................... 22
2.5. 3 電池堆溼度對電池性能之影響 ................... 25
2. 6 本章小結 ......................................... 25
第三章 故障預測系統之架構 ............................... 26
3. 1 前言 ............................................. 26
3. 2 燃料電池系統架構 ................................. 26
3.2. 1 質子交換膜燃料電池發電系統 ................... 27
3.2. 2 Modbus 監測模組 .............................. 29
3.2. 3 Zigbee 無線傳輸系統 .......................... 30
3.2. 4 系統通訊方式 ................................. 31
3. 3 質子交換膜燃料電池之故障特徵 ..................... 35
3.3. 1 燃料電池故障特徵 ............................. 36
3.3. 2 燃料電池故障特徵之擷取方法 ................... 38
3.3. 3 燃料電池狀態監測系統 ......................... 43
3. 4 本章小結 ......................................... 46
第四章 系統特徵訊號預測之方法 ........................... 47
4. 1 前言 ............................................. 47
4. 2 灰色系統理論之研究 ............................... 47
4.2. 1 灰色生成 ..................................... 48
4.2. 2 灰色關聯分析 ................................. 48
4.2. 3 灰色建模 ..................................... 48
4.2. 4 灰色預測 ..................................... 49
4. 3 訊號軌跡之預測方法 ............................... 49
4.3. 1 預測系統故障狀態之流程 ....................... 50
4.3. 2 灰色預測方法 ................................. 52
4. 4 本章小結 ......................................... 54
第五章 質子交換膜燃料電池之診斷方法 ..................... 55
5. 1 前言 ............................................. 55
5. 2 可拓理論 ......................................... 56
5.2. 1 可拓物元理論 ................................. 58
5.2. 2 可拓關聯函數 ................................. 60
5.2. 3 可拓理論之評價方法 ........................... 61
5. 3 可拓類神經網路 ................................... 65
5.3. 1 類神經網路之理論 ............................. 66
5.3. 2 類神經網路之架構 ............................. 68
5.3. 3 可拓類神經網路之學習法則 ..................... 70
5.3. 4 可拓類神經網路之診斷法則 ..................... 76
5. 4 本章小結 ......................................... 77
第六章 實驗結果與討論 ................................... 78
6. 1 前言 ............................................. 78
6. 2 訊號預測之測試結果 ............................... 78
6. 3 故障診斷之結果 ................................... 86
6.3. 1 利用所提可拓方法診斷之結果 ................... 92
6.3. 2 利用所提可拓類神經網路診斷之結果 ............. 97
6.3. 3 所提診斷方法與其它方法之比較 ................ 100
6. 4 本章小結 ........................................ 102
第七章 結論與未來展望 .................................. 103
7. 1 結論 ............................................ 103
7. 2 未來展望 ........................................ 104
參考文獻 ............................................... 105
作者簡介 ............................................... 111
[1] International Institute for Environment and Development: COP15 for journalists: a guide to the UN climate change summit, 2009.
[2] Presentation - The Physical Science Basis of Climate Change: Latest Findings to be Assessed by WGI in AR5, Intergovernmental Panel on Climate Change (IPCC), 2009.
[3] 毛宗強,氫能-21 世紀的綠色能源,出版,新文京開發股份有限
公司,2008。
[4] 曾信元,質子交換膜燃料電池非線性動態模型分析及控制,國立
勤益科技大學,碩士論文,2010。
[5] 楊承鏵,質子交換膜燃料電池之陰極觸媒加速老化研究,華梵大
學,碩士論文,2009。
[6] 林佳德,質子交換膜燃料電池性能檢測與倒傳遞神經網路應用之
研究,建國科技大學,碩士論文,2006。
[7] Luis Alberto M. Riascos, Marcelo G. Simoes, and Paulo E. Miyagi,“A Bayesian network fault diagnostic system for protonexchange membrane fuel cells”, Journal of Power Sources, Vol.165, pp.267-278, 2007.
[8] Luis Alberto M. Riascos, Marcelo G. Simoes, and Paulo E.
Miyagi,“On-line fault diagnostic system for proton exchangemembrane fuel cells”,1Journal of Power Sources, Vol.175, pp.419-429, 2008.
[9] Timo Kurz, and Alex Hakenjos, J’erôme Krämer, Mario Zedda, Carsten Agert, “An impedance-based predictive control strategy for the state-of-health of PEM fuel cell stacks”, Journal of Power Sources, Vol.180, pp.742-747, 2008.
[10] N. Yousfi Steiner, D. Hissel, Ph. Moc¸ote´guy, and D. Candusso,“Diagnosis of polymer electrolyte fuel cells failure modes(flooding & drying out) by neural networks modeling”, Internationaljournal 106 of hydrogenenergy, Vol.36, pp.3067-3076, 2011.
[11] 蔡文,楊春燕,林偉初,可拓工程方法,全華科技圖書股份有限公司,2001。
[12] M. H. Wang, “Extension Neural Network for Power Transformer Incipient Fault Diagnosis”, IEE Proceedings Generation, Transmission and Distribution, Vol.150, pp.679-685, 2003.
[13] 張偉哲,溫珅禮,張庭政,灰關聯模型方法與應用,高立圖書股份有限公,2000。
[14] 衣寶廉,陳憲偉,科技大浪潮-燃料電池,五南圖書出版公司,
2003 年4 月。
[15] 李威霆,質子交換膜燃料電池應用漁船舶輔助電力的探討,國立成功大學,碩士論文,2006。
[16] 楊昇晃,微型燃料電池設計、製作與電化學阻抗量測分析,國立中山大學,碩士論文,2004。
[17] Ryan O’Hayre, Suk-Won Cha, Whitney Colella, and Fritz B.Prinz,“Fuel Cell Fundamentals” , John Wiley & Sons, Inc, 2006.
[18] 蔡武田,質子交換膜燃料電池之非線性電路分析與控制,國立中興大學,碩士論文,2004。
[19] A. Rowe and X. Li , “Mathematical Modeling of Proton Exchange Membrane Fuel Cells”, Journal of Power Sources, Vol.102, pp.82-96, 2001.
[20] A. Sripakagorna, and N. Limwuthigraijiratb, “Experimental assessment of fuel cell/supercapacitor hybridsystem for scooters”, Internationaljournalof hydrogen energy, Vol.34, pp.6036-6044, 2009.
[21] 黃鎮江,燃料電池,全華科技圖書股份有限公司,2005。
[22] J. M. Corrêa, F. A. Farret, L. N. Canha, and M. G. Simões, “An Electrochemical based Fuel Cell Model Suitable for Electrical Engineering Automation Approach”, IEEE Transactions on Industrial Electronics, Vol.51, No.5, Oct. 2004.
[23] N. Yousfi-Steiner, Ph. Mocote´guya, D.Candussoc, D.Hissel, A. Hernandez, and A. Aslanides, “A review on PEM voltage degradation associated with water management:Impacts, influent factors and characterization”, Journal of Power Sources, Vol.183, pp.260-274, 2008.
[24] J. C. Amphlett, R. F. Mann, B.A. Pepley, P. R. Roberge, and A. Rodrigues, “A Model Predicting Transient Response of Proton Exchange Membrane Fuel Cells”, Journal of Power Sources, Vol. 61, pp.183-188, 1996.
[25] D. J. Lee, and L. Wang, “Dynamic and Steady-State Performance of PEM Fuel Cells under Various Loading Conditions”, IEEE Power Engineering Society General Meeting, pp.1-8, 2007.
[26] Sheng-Ju Wu, Sheau-Wen Shiah, and Wei-Lung Yu, “Parametric analysis of proton exchange membrance fuel cellperformance by using the Taguchi method and a neural network”, Renewable Energy, Vol.34, pp.135-144, 2009.
[27] Suk Won Cha, Ryan O’Hayre, Yong-Il Park, and F.B. Prinz, “Electrochemical impedance investigation of flooding in micro-flowchannels for proton exchange membrane fuel cells”, Journal of Power Sources, Vol.161, pp.138-142, 2006.
[28] S.M. Sharifi Asl, S. Rowshanzamir, and M.H. Eikani, “Modelling and simulation of the steady-state and dynamic behaviorof a PEM fuel cell”, Energy, Vol.35, pp1633-1646, 2010.
[29] Colleen Spiegel, “PEM Fuel Cell Modeling and Simulation Using MATLAB”, Copyright Elsevier Inc. All rights reserved, 2008.
[30] Felix A. Farret, Luciane N. Canha, Marcelo G. Simões, and Senior Member, “An Electrochemical-Based Fuel-Cell Model Suitablefor Electrical Engineering Automation Approach”, IEEE Transactions on Industrial Electronics, Vol.51, No.5, pp1103-1112, 2004.
[31] Modicon PLC with MOdbus Multi-Gateway Maunal,三椎資訊有限公司,2002。
[32] 廖文輝,圖形監控實務,全華科技圖書股份有限公司,2009。
[33] 陳正義,方昭欽,陳致弘,圖形監控系統設計實務,全華科技圖書股份有限公,2009。
[34] 瞿雷、劉盛德、胡咸斌,無線網路結構和原理基礎,僑高股份有限公司,2008。
[35] J. S. Lee, Y. W. Su, and C. C. Shen, “A comparative study of wireless protocols: Bluetooth, UWB, ZigBee, and Wi-Fi”, The 33rd Annual Conference of the IEEE Industrial Electronics Society, No.5-8, pp.46-51, 2007.
[36] 吳俊忠,無限感測網路室內區域定位及監控系統之實作,逢甲大學,碩士論文,2007。
[37] I-7017, I-7018, I-7019, M-7017, M-7018 and M-7019 Series User’s Manual, Copyright 1999 -2004 ICP DAS. All rights reserved.
[38] Jean-Marc Le Canut1, Ruth Latham, Walter Merida, and David A.Harrington, “Impedance study of membrane dehydration andcompression in proton exchangemembrane fuel cells”, Journal of Power Sources, Vol.192, pp.457-466, 2009.
[39] A. Isopo, and V. Rossi Albertini, “An original laboratory X-ray diffraction method for in situ investigations on thewater dynamics in a fuel cell proton exchange membrane,”Journal of Power Sources,
Vol.184, pp.23-28, 2008.
[40] Masashi Kishimoto, Hiroshi Iwai, Motohiro Saito, and Hideo Yoshida, “Quantitative evaluation of solid oxide fuel cell porous anode microstructurebased on focused ion beam and scanning electron microscope technique andprediction of anode overpotentials”, Journal of Power Sources, Vol.196, pp.4555-4563, 2011.
[41] Deng Julong, “Control Problems of Grey System”, Systems and Control Letters5, pp285-294, 1982.
[42] Deng Julong, “Introduction to Grey System, Theory”, The Journal of Grey system 1, pp1-24, 1989.
[43] 吳國榮,灰色預測GM(1,1)之模型改善與應用,國防大學,碩士
論文,2008。
[44] 溫珅禮,趙忠賢,張宏志,陳曉瑩,溫惠筑,灰色理論與應用,五南圖書股份有限公司,2009。
[45] 黃勝正,灰色預測中辨識係數對鉛酸電池放電系統影響之研究,國立彰化師範大學,碩士論文,2006。
[46] Wen Cai, “Extension Set and Incompatible Problems,” Science Exploration, Vol.3, No.1, pp. 83-97, 1983.
[47] B. Kerezsi,“Vibration Fault Detection of Large Turbine Generators Using Neural Networks", IEEE InternationalConference on Neural Networks, University of Western Australia, Perth, Western Australia, Vol.1, pp.121-126, 1995.
[48] 汪惠健,類神經網路設計,湯姆生股份有限公司,2007。
[49] 王文俊,認識 Fuzzy,全華科技圖書股份有限公司,2001。
[50] Mamun Bin Ibne Reaz, Florence Choong, Mohd Shahiman
Sulaiman, Faisal Mohd-Yasin, Member, IEEE, and Masaru Kamada,“Expert System for Power QualityDisturbance Classifier”, IEEE Transactions on Power Delivery, Vol.22, No.3, pp.1979-1989, 2007.
[51] Julio César Tovar, and Wen Yu, “Fuzzy Neural Modeling via Clustering and Support Vector Machines”, IEEE 22nd International Symposium on Intelligent Control, University of Singapore, Singapore, pp.24-29, 2007.
[52] 何志勇,可拓理論於電力系統負載預測與局部放電圖譜辨識之應用,國立勤益技術學院,碩士論文,2004。
[53] 陳經緯,鉛酸電池之智慧型充電狀態與壽命狀態估測器研製,國立勤益科技大學,碩士論文,2009。
[54] 鍾裕國,應用熱影像和可拓方法於手部辨識,國立勤益科技大
學,碩士論文,2010。
[55] 王洪偉,策略生成的物元模型,系統工程理論與實踐,11 期,
頁55-124,1999。
[56] 楊春燕、何斌,可拓方法在新產品構思中的應用,系統工程理論與實踐,4 期,頁120-124,1999。
[57] M. H. Wang, “Extension Neural Network for Power Transformer Incipient Fault Diagnosis”, IEE Proceedings Generation, Transmission and Distribution, Vol.150, pp.679-685, 2003.
[58] M. H. Wang, “Application of Extension Theory to Vibration Fault Diagnosis of Generator Sets”, IEE Proceedings Generation Transmission and Distribution, Vol.151, No.4, pp.503-508, 2004.
[59] M. H. Wang and C. P. Hung, “Extension Neural Network and its Applications,” Neural Networks, Vol.16, pp.779-784, 2003.
[60] 莊婉君,類神經網路於病患常規血液檢查項目中危險因子之研
究,國立東華大學,碩士論文,2010。
連結至畢業學校之論文網頁點我開啟連結
註: 此連結為研究生畢業學校所提供,不一定有電子全文可供下載,若連結有誤,請點選上方之〝勘誤回報〞功能,我們會盡快修正,謝謝!
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
無相關期刊
 
系統版面圖檔 系統版面圖檔