請用此 Handle URI 來引用此文件：
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/37550完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 蔡進發 | |
| dc.contributor.author | Wei-Chun Lin | en |
| dc.contributor.author | 林緯俊 | zh_TW |
| dc.date.accessioned | 2021-06-13T15:32:20Z | - |
| dc.date.available | 2008-07-18 | |
| dc.date.copyright | 2008-07-18 | |
| dc.date.issued | 2008 | |
| dc.date.submitted | 2008-07-14 | |
| dc.identifier.citation | [1] Wind power http://en.wikipedia.org/wiki/Wind_power
[2] 風能技術 http://re.org.tw/Pro/f1/f1.htm [3] 姚仁福，風力發電機元件損壞經驗談 [4] Motorola, “Six Sigma: 1992 and Beyond”, 1992 [5] Matt Barney, Tom McCarty, “The New Six Sigma”, Prentice Hall PTR, 2002 [6] Pete Pande, Larry Holpp, “What is Six Sigma”, McGraw-Hill, 2001 [7] Kerri Simon, “DMAIC Versus DMADV”, http://www.isixsigma.com/library/content/c001211a.asp [8] Pete S. Pande, Robert P. Neuman, Roland R. Cavanagh, “What is Design for Six Sigma”, McGraw-Hill, 2004 [9] 梁春鈺, 有效推行6西格瑪的策略和方法，2004 [10] Davis R., Microsoft Corporation Microsoft Corporation Microsoft CorporationKing J., “An overview of production system, Machine Intelligence”, 8, 300-322 [11] Michael Negnevitsky., “Artificial Intelligence: A Guide to Intelligent Systems (2nd Edition)”, Addison Wesley, 2004 [12] Newell A., Simon H.A., “Human Problem Solving”, Prentice Hall [13] Stephanou H.E., Sage A.P., “Perspectives on imperfect information processing”, IEEE Transactions on system, Man, and Cybernetics SMC-17(5), 780-798 [14] Simpson R., “The specific meanings of certain terms indicating differing degrees of frequency”, The Quarterly Journal of Speech, no.30, 328-330 [15] Hakel M.D., “How often is often? American Psychologist”, no.23, 533-534 [16] Stuart Russell, Peter Norvig, “Artificial Intelligence: A Modern Approach (2nd Edition)”, Prentice Hall, 2002 [17] Raghavendra Rao Nelamane Vijayakumar, “Risk Analysis of OffShore Wind Farm”, 2007 [18] Berthold Hahn, Michael Durstewitz, Kurt Rohrig, “Reliability of Wind Turbines”, 329-332 [19] 系統規格http://wind.erl.itri.org.tw/demonstration/Specification.htm [20] GL - Wind Energy http:// www.gl-group.com/industrial/glwind/ [21] Asynchronous JavaScript + XML http://caterpillar.onlyfun.net/Gossip/AjaxGossip/AsynchronousJavaScriptXML.html [22] Web3D Consortium http://www.web3d.org/ [23] Media Machines http://www.mediamachines.com/developer.php [24] Google 發表 Android Open Platform：行動通訊市場即將改變生態http://mmdays.wordpress.com/2007/11/06/google_android/ [25] What is Android? http://code.google.com/android/what-is-android.html [26] JDOM http://www.jdom.org/ [27] JFreeChart http://www.jfree.org/jfreechart/ [28] 風機的日常運行與維護 http://www.powersafety.com.cn/default/Article/qtfd/gljs/200709/31772.html | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/37550 | - |
| dc.description.abstract | 本研究以六標準差的模式開發一可應用於離岸風力發電場的智慧型線上模擬及診斷系統的理論模式和軟體架構，並驗證系統及修改所建立的貝氏網路模型和軟體架構，以因應未來離岸大型風力發電場建立後的最有效能的營運模式。
本研究以延伸式標籤語言(Extensible Markup Language, XML)為基礎開發的資訊系統包含了三個部份：運用X3D(Extensible 3D)動態模擬、配合Android手機平台行動化以及使用AJAX(Asynchronous JavaScript and XML)技術實作線上營運診斷系統。 本論文採用六標準差的DMADV方法模型之資訊系統，來處理風力發電機營運損壞的問題，以提昇風機穩定度，降低風機的維護成本，增加風機的可用率。 | zh_TW |
| dc.description.abstract | The theory model and software architectures will be developed for the intelligence online simulation and diagnosing system of offshore wind farm based on the infrastructure of six sigma methodology. The system will be used for the validation and modification of the developed Bayesian network model and software architecture. The optimum model and architecture of large offshore wind farm will be proposed in this study.
The information system developed in this paper consists of three main components based on XML: dynamic X3D simulation, mobility in Android, and online operation diagnosing system with AJAX. The study on this thesis which applied six sigma DMADV model to deal with operation failure problem in wind turbine was done by information system and it lifted the stability, reduced the cost on maintenance and increased the availability in wind turbine. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-13T15:32:20Z (GMT). No. of bitstreams: 1 ntu-97-R95525055-1.pdf: 3803919 bytes, checksum: 5574e77d2244e3e70acbe23104a1b3b1 (MD5) Previous issue date: 2008 | en |
| dc.description.tableofcontents | 摘要 I
Abstract II 目錄 III 表目錄 V 圖目錄 VI 第一章 緒論 1 1-1 研究動機 1 1-2 研究目的 1 1-3 論文架構 2 第二章 探討六標準差 3 2-1 六標準差簡介 3 2-1-1 六標準差的起源 3 2-1-2 六標準差的應用領域 3 2-2 六標準差的意義 4 2-2-1 統計衡量 4 2-2-2 目標 4 2-2-2 管理系統 5 2-3 六標準差的方法 5 2-3-1 兩大方法概述 5 2-3-2 DMAIC 6 2-3-3 DMADV 6 2-3-4 DFSS其他方法 7 2-3-5 六標準差方法 8 2-4 六標準差的營運方法 8 第三章 系統架構 10 3-1 智慧系統 10 3-1-1 智慧系統概述 10 3-1-2 評估問題 10 3-1-3 擷取資料和知識 11 3-1-4 開發系統 11 3-1-5 修訂系統 12 3-1-6 整合和維護系統 12 3-2 診斷系統 13 3-2-1 規則式專家系統 13 3-2-2 貝氏定理 14 3-2-3 貝氏網路 16 3-3 資訊系統 17 3-3-1 系統技術 17 3-3-2 AJAX 18 3-3-3 X3D 19 3-3-4 Android 21 第四章 營運診斷網站的實作 24 4-1 系統架構 24 4-2 系統介面 24 4-2-1 營運診斷 25 4-2-2 更新系統 25 4-2-3 風機3D模擬 27 4-3 系統成果討論 27 第五章 結論 29 5-1 研究成果 29 5-2 未來展望 29 參考文獻 65 | |
| dc.language.iso | zh-TW | |
| dc.subject | 延伸式標籤語言 | zh_TW |
| dc.subject | 貝氏網路 | zh_TW |
| dc.subject | 六標準差 | zh_TW |
| dc.subject | AJAX | zh_TW |
| dc.subject | Android | zh_TW |
| dc.subject | X3D | zh_TW |
| dc.subject | Bayesian Network | en |
| dc.subject | XML | en |
| dc.subject | X3D | en |
| dc.subject | Six Sigma | en |
| dc.subject | AJAX | en |
| dc.subject | Android | en |
| dc.title | 風力發電機營運診斷系統之研究 | zh_TW |
| dc.title | Study on Operation Diagnostic System in Wind Turbine | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 96-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 郭真祥,邵揮洲 | |
| dc.subject.keyword | 六標準差,貝氏網路,延伸式標籤語言,X3D,Android,AJAX, | zh_TW |
| dc.subject.keyword | Six Sigma,Bayesian Network,XML,X3D,Android,AJAX, | en |
| dc.relation.page | 66 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2008-07-14 | |
| dc.contributor.author-college | 工學院 | zh_TW |
| dc.contributor.author-dept | 工程科學及海洋工程學研究所 | zh_TW |
| 顯示於系所單位： | 工程科學及海洋工程學系 | |
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