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TAIWAN – USA
COLLABORATION

臺灣、美國國際合作

Data analysis and machine learning on temperature profile of Reflow oven

應用數據分析及機器學習方法於迴焊爐溫度曲線分析

Project Details 計畫內容概述

This research combines statistical and machine learning methods to predict the temperature curve/profile of the Reflow process in the reflow oven. The study also analyzes the factors that may affect the temperature curve and establish a prediction model to effectively control the relevant parameters in the Reflow process. The result of this study can be the reference for maintenance strategies during equipment maintenance.

結合統計及機器學習方法預測迴焊爐Reflow製程之溫度曲線，並分析可能影響溫度曲線的因子並建立預測模型，以有效地掌控Reflow製程中的相關參數以作為設備維護時的保養策略參考。

Project

Duration

2023

Project No.

112-2218-E-011 -009

Project Partners

  1. National Taiwan University of Science and Technology (NTUST) in Taiwan

  2. Integrated Electronics Engineering Center, Binghamton University State University of New York, USA

Principal Investigators

  1. Professor Chao-Lung Yang (Taiwan)

  2. Sang Won Yoon (USA)

Contact 聯絡資訊

Publication 期刊論文發表

  • C.-L. Yang*, A. A. Yilmaa, H. Sutrisno, B. Hailec, N. T. P. Quyen,” LSTM-based Framework with Metaheuristic Optimizer for Manufacturing Process Monitoring,” to appear in Alexandria Engineering Journal (Accepted in Oct. 2023)

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