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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/63336完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 柯文俊 | |
| dc.contributor.author | Wei-Ting Hsu | en |
| dc.contributor.author | 徐偉庭 | zh_TW |
| dc.date.accessioned | 2021-06-16T16:35:36Z | - |
| dc.date.available | 2017-11-22 | |
| dc.date.copyright | 2012-11-22 | |
| dc.date.issued | 2012 | |
| dc.date.submitted | 2012-10-30 | |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/63336 | - |
| dc.description.abstract | 近年來結構系統識別已經發展的非常完善，在模擬方面透過適當的數學模型都可以得到良好的識別成果。但在實際識別上，雜訊對訊號之影響是無法避免的，因為它充斥著量測環境，有時會以提高數學模型之階數來增加識別的精確度，使得挑選特徵根的過程較為麻煩，運算的時間也較長。為了降低雜訊在系統識別上的影響，本文應用希爾伯特－黃轉換中的一個重要步驟：整體經驗模態分解法來做為結構系統訊號前處理的工具。透過其特性將訊號分解成數個本質模態函數，並將高頻的雜訊濾除之，配合含外變數的自我迴歸模型與狀態空間系統識別理論，識別出結構系統的模態參數。
本文使用的訊號處理及系統識別之方法，將透過電腦模擬加入雜訊後的自由振動及強迫振動輸出入響應進行識別，由單自由度進程至三自由度，並與正解做比較。最後應用於兩個實際結構物系統：一個為直立式懸臂鋼樑結構之衝擊測試，其結構簡單且具有理論解供識別結果對照比較；另一個為由國家地震工程研究中心提供之地震波測試五層樓縮尺鋼架結構。由模擬的結果顯示，本文所使用的方法有效的提高了在含有雜訊情況下的識別結果。 | zh_TW |
| dc.description.abstract | Structural system identification has been well-developed recently, mature enough to yield an effective result in simulation through proper mathematics modeling. However, the identification in practice encounters signal interference that dampens the result. For better precision, mathematics modeling order would be lifted, yet the process of selecting eigenvalue becomes longer. This thesis applies one of the most important step in HHT – EEMD. EEMD as a preset uses its properties to decompose signal into IMF and filters out high-frequency signal. In addition, along with ARX model and state-space system identification theorem, the structural characteristic parameters can be identified.
The EEMD method will be tested through computer simulation that includes interfered free vibration and forced vibration signal under either single or three-degrees-of-freedom. The method will later be applied onto two virtual systems: a simple and efficient virtual perpendicular beam structure crash test and seismic waves to test five-story steel frame structure of NCREE. As the result reveals, the method in the thesis provides an effective result against signal interference. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-16T16:35:36Z (GMT). No. of bitstreams: 1 ntu-101-R99525062-1.pdf: 9606592 bytes, checksum: df7b3ddb6bf2aedfbd145fcf11b9cada (MD5) Previous issue date: 2012 | en |
| dc.description.tableofcontents | 中文摘要 I
Abstract II 目錄 III 圖目錄 VI 表目錄 XII 簡稱術語對照表 XIV 符號說明 XV 第一章 導論 1 1.1 研究目的 1 1.2 文獻回顧 2 1.3 論文架構 4 第二章 希爾伯特－黃轉換理論 6 2.1希爾伯特轉換 7 2.1.1 解析函數 7 2.1.2瞬時頻率 9 2.2 經驗模態分解法 12 2.2.1 本質模態函數 13 2.2.2 本質模態函數篩選過程 16 2.2.3 完整性及正交性 22 2.2.4 停止準則 25 2.3 整體經驗模態分解法 27 2.4整體經驗模態分解法之後處理 31 第三章 時間序列模型及狀態空間系統識別理論 33 3.1 狀態空間系統 33 3.2 時間序列模型 35 3.2.1 ARX模型 36 3.2.2 ARX模型轉換至離散狀態空間系統 38 3.3凝縮及連續等效狀態空間系統 40 3.4矩陣轉換法 46 3.5識別流程 52 第四章 結構系統數值模擬 53 4.1 單自由度線性系統模擬 53 4.1.1 單自由度具阻尼之自由振動系統識別 55 4.1.2 單自由度具阻尼之強迫振動系統識別 66 4.2 三自由度線性系統模擬 79 4.2.1 三自由度具阻尼之自由振動系統識別 81 4.2.2 三自由度具阻尼之強迫振動系統識別 93 第五章 實際結構物之識別應用 101 5.1 直立式懸臂梁結構 101 5.1.1 直立式懸臂鋼樑結構理論解 102 5.1.2 直立式懸臂鋼樑結構識別與結果討論 106 5.2國家地震工程研究中心之五層樓縮尺鋼架結構 111 5.3五層樓縮尺鋼架結構識別結果探討 119 第六章 結論與未來展望 124 6.1 結論 124 6.2 未來展望 126 參考資料 127 | |
| dc.language.iso | zh-TW | |
| dc.subject | 模態參數 | zh_TW |
| dc.subject | 含外變數的自我迴歸模型 | zh_TW |
| dc.subject | 整體經驗模態分解法 | zh_TW |
| dc.subject | 希爾伯特－黃轉換 | zh_TW |
| dc.subject | 系統識別 | zh_TW |
| dc.subject | characteristic parameters | en |
| dc.subject | Hilbert-Huang Transform (HHT) | en |
| dc.subject | Ensemble Empirical Mode Decomposition (EEMD) | en |
| dc.subject | System Identification | en |
| dc.subject | ARX model | en |
| dc.title | 應用整體經驗模態分解法及含外變數的自我迴歸模型識別結構系統之特徵參數之研究 | zh_TW |
| dc.title | Application of EEMD Method and ARX Model to Identify the Characteristic Parameters of Structural Systems | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 101-1 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 程安邦,薛文証,劉德源 | |
| dc.subject.keyword | 系統識別,希爾伯特－黃轉換,整體經驗模態分解法,含外變數的自我迴歸模型,模態參數, | zh_TW |
| dc.subject.keyword | System Identification,Hilbert-Huang Transform (HHT),Ensemble Empirical Mode Decomposition (EEMD),ARX model,characteristic parameters, | en |
| dc.relation.page | 130 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2012-10-30 | |
| 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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