本研究探討馬達生產過程中，系統參數與最初設計間可能產生的差異。這些差異可能導致馬達性能偏離，進而影響其正常運作和壽命。為解決此問題，本研究提出利用數位孿生技術應用在馬達生產過程，特別是全檢環節的品質控制。傳統的品質檢測方法常依賴於動力計等昂貴且耗時的設備，而本研究不需要使用動力計即可進行快速量測，將原本需花費一至二小時的檢測縮短至二分鐘以內，極大地提高了檢測效率和成本效益，類似於全面的生產品質控制(Quality Control)系統。
本研究首先介紹數位孿生技術的基本概念及其在製造業中的應用潛力。接著詳細說明如何構建量測系統的數位孿生模型，包括數據採集、模型建構及數據分析方法。最後通過實驗數據驗證所提方法的有效性，結果表明，利用數位孿生技術可以顯著提升量測系統的品質控制和問題預測能力。本研究為馬達生產中的量測系統提供創新解決方案，不僅提升檢測效率，還降低成本，具有重要的理論意義和實際應用價值。

This paper presents an innovative application of digital twin technology for the rapid characteristic measurement of permanent magnet motors, particularly during the production quality control phase. Conventional methods rely on dynamometers, which are both costly and time-intensive. Our approach leverages digital twin technology to eliminate the need for dynamometers, significantly enhancing measurement efficiency and reducing costs. The construction of a digital twin model for the measurement system, including data acquisition, model building, and data analysis, is detailed. Experimental results validate the effectiveness of the proposed method, showing substantial improvements in quality control and problem prediction capabilities. This research offers a cutting-edge solution for motor production measurement systems, improving inspection efficiency and cost-effectiveness.

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