LiRUL: A Lightweight LSTM Based Model for Remaining Useful Life Estimation at the Edge

Olumide Kayode, Ali Saman Tosun. LiRUL: A Lightweight LSTM Based Model for Remaining Useful Life Estimation at the Edge. In Vladimir Getov, Jean-Luc Gaudiot, Nariyoshi Yamai, Stelvio Cimato, J. Morris Chang, Yuuichi Teranishi, Ji-Jiang Yang, Hong Va Leong, Hossain Shahriar, Michiharu Takemoto, Dave Towey, Hiroki Takakura, Atilla Elçi, Susumu Takeuchi, Satish Puri, editors, 43rd IEEE Annual Computer Software and Applications Conference, COMPSAC 2019, Milwaukee, WI, USA, July 15-19, 2019, Volume 2. pages 177-182, IEEE, 2019. [doi]

Abstract

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