Yun, Jonghyeon Cho, Hyunwoo Kim, Inkyum Kim, Daewon 2024-06-07T02:00:22Z 2024-06-07T02:00:22Z 2024-06-07 2024-07 1614-6832 https://pubs.kist.re.kr/handle/201004/150012 Cable monitoring is essential for the prevention of machine malfunctions as machines are operated dynamically. Traditional methods of cable monitoring, conducted through portable or fixed devices, possess the inherent limitations in real-time damage detection and precise location identification. Herein, a self-powered, smart cable monitoring system is proposed, utilizing a triboelectric nanogenerator (TENG) as a sensor for the cable and an electric field energy harvester (EFEH) as a power source of the system. Also, the generated electrical outputs from the EFEH are theoretically and experimentally investigated according to the EFEH-layer numbers, and the optimal number of EFEH-layers is determined, generating an average electrical power of 2.04 mW. Through hybridization of TENG and EFEH, a synergistic effect is confirmed, resulting in a remarkable 155% enhancement in electrical energy. Consequently, the proposed system is endowed with self-powered wireless communication capabilities. Additionally, employing a pre-trained long short-term memory-based model, the system can predict the remaining lifespan of the cable with an accuracy rate of 93.7%. Considering these results, the proposed system demonstrates significant potential for industrial cable monitoring applications in the near future. Smart cable monitoring system driven by electric field energy harvester (EFEH) is demonstrated using triboelectricity based cable deforming detection. The synergistic effect of EFEH and triboelectric nanogenerator is confirmed. The proposed system achieves the self-powered wireless communication, which can detect various cable movements. The proposed system predicts remaining cable-life with the high prediction accuracy using artificial intelligence. image English Wiley-VCH Verlag Artificial Intelligence Assisted Smart Self-Powered Cable Monitoring System Driven by Time-Varying Electric Field Using Triboelectricity Based Cable Deforming Detection Article 10.1002/aenm.202400156 1 Advanced Energy Materials, v.14, no.27 Advanced Energy Materials 14 27 N scie scopus 001226956500001 2-s2.0-85193344884 Chemistry, Physical Energy & Fuels Materials Science, Multidisciplinary Physics, Applied Physics, Condensed Matter Chemistry Energy & Fuels Materials Science Physics Article NANOGENERATORS SENSOR IDENTIFICATION LINES Bluetooth low energy cable monitoring electric field energy long short-term memory triboelectric nanogenerator