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系統識別號 U0026-2808201813240000
論文名稱(中文) AVM自動建模−以五軸工具機為例
論文名稱(英文) AVM Automated Model Creation for 5-axis Machine Tools
校院名稱 成功大學
系所名稱(中) 製造資訊與系統研究所
系所名稱(英) Institute of Manufacturing Information and Systems
學年度 106
學期 2
出版年 107
研究生(中文) 江律嫺
研究生(英文) Lu-Hsien Chiang
學號 P96054090
學位類別 碩士
語文別 中文
論文頁數 85頁
口試委員 指導教授-鄭芳田
共同指導教授-楊浩青
口試委員-洪敏雄
口試委員-陳朝鈞
中文關鍵字 全自動虛擬量測系統(AVM)  全廠導入  加工精度  訊號擷取  自動建模  模型管理 
英文關鍵字 Automatic Virtual Metrology (AVM)  Factory-wide deployment  processing accuracy  feature extration  Automated Model Creation (AMC)  model management 
學科別分類
中文摘要 現今全自動虛擬量測(Automatic Virtual Metrology, AVM)已廣泛地運用在高科技產業及工具機產業之產品檢測,以實現即時線上全檢之目的。而在工具機產業中全廠導入AVM仍有許多待改善的議題,其中,首先面臨最大的挑戰是如何自動建出最適模型,因建模過程步驟繁瑣且建模門檻高,須具備演算法及統計的專業知識。對於工具機業者來說,光是建立模型就會耗費許多人力及時間。為改善上述問題,必須能自動建立出最適模型,本研究從建模前的資料前處理開始,一直到整個建模流程訂定了三項主題來做深入探討,順序分別是:一、最適加工訊號擷取,二、自動建模,三、模型管理。其中,最適加工訊號擷取主要探討資料前處理步驟中,如何找到真正有效加工訊號區間,以提升AVM的精度預測,進而產生更精準的模型供後續建模使用。而自動建模(Automated Model Creation, AMC)則與通用型全自動虛擬量測系統(GED-plus-AVM System, GAVM)做結合,省去許多繁瑣的建模步驟,以及利用演算法自動找出各量測項目所對應之最恰當模型。再來就是突破過去的建模觀點,以全廠觀來檢視的模型管理,不僅針對全廠的模型做監控管理,還設計了一套模型更換機制且訂定模型之新鮮度指標及燈號,透過網頁呈現的方式讓使用者對於模型的狀態一目了然,隨時可進行模型更換的動作,達到管理全廠模型的最終目的。
英文摘要 Nowadays, Automatic Virtual Metrology (AVM) has been widely used in the high-tech industry and the machine tool industry to achieve online real-time inspection. However, there are still many issues to be improved in the AVM implementation of the machine tool industry. One of the biggest challenges is how to build an optimal model automatically. As the modeling processes are complicated with higher standards, and algorithm and statistical expertise are required, it takes a lot of manpower and time for model creation in the machine tool industry. In order to resolve the problems mentioned above to automatically build an optimal model, three major topics starting from the pre-modeling data pre-processing to the whole modeling process are discussed in depth in this research: 1) optimal processing signal acquisition , 2) Automated Model Creation (AMC), and 3) model management. Among them, the optimal processing signal acquisition mainly deals with the issue on how to find out the effective machining signals in data pre-processing to enhance the AVM accuracy for more accurate model creation. Then Automated Model Creation (AMC) is integrated with GED-plus-AVM System (GAVM) to simplify the model creation processes, and algorithms are utilized to find out the most appropriate model for each measurement item. Moreover, factory-wide model management is adopted by developing a model changing mechanism and setting the indicators and light signals of model freshness. Through the webpage interface, not only that users can see the model status at a glance, but model replacement can also be performed at any time to achieve the ultimate goal of managing the factory-wide models.
論文目次 目錄
摘 要 III
ABSTRACT IV
誌 謝 XIII
第一章 緒論 20
1.1 研究背景 20
1.2 研究動機與目的 21
1.2.1最適加工區間訊號擷取 22
1.2.2自動建模 24
1.2.3模型管理 25
1.3 研究流程 26
1.4 論文架構 27
第二章 文獻探討與理論基礎 28
2.1 文獻探討 28
2.2 理論基礎 29
2.2.1虛擬量測系統架構 29
2.2.2 通用型全自動虛擬量測系統
(GED-plus-AVM System, GAVM) 30
2.2.3系統架構 34
第三章 研究方法 36
3.1 訊號感測器於機台上的安裝配置 36
3.2 最適加工區間訊號擷取模組 37
3.3自動建模模組 42
3.4模型管理模組 50
第四章 案例呈現與驗證 54
4.1最適加工區間訊號擷取 54
4.2自動建模 74
4.3模型管理 77
第五章 結論 82
5.1總結 82
5.2未來研究方向 83

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