Author Biographies

Mo Chen received a B.Eng. degree in engineering from Shenyang Agricultural University, Liaoning, China, in 2019 and a M.S. degree in agriculture from Tarim University, Xinjiang Uygur Autonomous Region, China, in 2021. He is currently pursuing a Ph.D. degree in mechanical engineering with the School of Mechanical Engineering, Shenyang University of Technology, China. His research interests include edge computing, equipment fault diagnosis, and deep learning algorithms.
Chao Ge graduated from the Software Engineering program at Shandong University in 2012, earning a bachelor's degree. In 2020, he began serving as a Chief Engineer at Ansteel Group Automation Co., Ltd. He is currently the Deputy Manager of the Equipment Operation Product Department at Ansteel Group Automation Co., Ltd. His current research focuses on intelligent equipment monitoring.
Qirui Yang graduated with a master's degree in Computer Science from Marshall University, USA, in 2017. In 2018, he joined Ansteel Group Automation Co., Ltd., where he is currently serving as a Project Manager in the Equipment Operation Product Department. His current research focuses on intelligent equipment monitoring and identification analysis.
Zhe Wei received a B.S. degree in industrial design from Northeastern University, Shenyang, China, in 2004 and M.S. and Ph.D. degrees in mechanical design and theory from Zhejiang University, Hangzhou, China, in 2009. From 2009 to 2014, he was the Dean of the Research Institute and a Chief Process Information Officer with Sany Heavy Equipment Company Ltd. From 2014 to 2018, he was an Associate Professor with the State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University. He is currently a Professor with the School of Mechanical Engineering, Shenyang University of Technology, Shenyang, and the Director of the Key Laboratory of Intelligent Manufacturing and Industrial Robotics in Liaoning Province. His current research interests include human–robot interaction, virtual reality, digital twin, and intelligent design and manufacturing.
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