國 立 陽 明 交 通 大 學 演 講

講題：The Multisensor Information Fusion-Based Deep Learning Model for Equipment Health Monitor

主 講 人：鄧志峰 (Jr-Fong Dang)

(國立中興大學智慧創意工程學士學位學程助理教授)

主 持 人：巫佳煌教授

主辦單位：陽明交通大學工業工程與管理系

時間：112年3月27日(星期一) 13:20~15:10

地    點：綜合一館AB103室

演講摘要：With the rise of Industry 4.0, Internet of Things (IoT) and 5G accelerate companies to install the advanced sensors in the modern production machines to collect the data which can be further analyzed.  This paper proposes an information fusion-based deep learning framework considering the characteristics of the heterogeneous sensor data which are commonly occurred in the real-world.  Our architecture can be flexibly configured to adapt to different parameter characteristics based on to sensor features.  We apply clustering analysis and principal component analysis (PCA) for dimension reduction purpose to save the computation power and to avoid insufficient memory.

演講性質：學術研究專題

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