Fused Deposition Modeling (FDM) is used in quick prototyping and industrial manufacturing in many emerging industries. However, the process is imperfect, and printing failures often occur, thus leading to wasted time and resources. To address these issues of FDM-type 3D printers, developing a smart monitoring device designed to predict abnormal activities during the printing process accurately is proposed. In the proposed method, a set of collaborative sensors accumulates time-series data for forecasting.All Rights Reserved