RUL Prediction for Piezoelectric Vibration Sensors Based on Digital-Twin and LSTM Network
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- Lyu, Guangzheng & Zhang, Heng & Miao, Qiang, 2023. "Parallel State Fusion LSTM-based Early-cycle Stage Lithium-ion Battery RUL Prediction Under Lebesgue Sampling Framework," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
- Xingxing Wang & Peilin Ye & Shengren Liu & Yu Zhu & Yelin Deng & Yinnan Yuan & Hongjun Ni, 2023. "Research Progress of Battery Life Prediction Methods Based on Physical Model," Energies, MDPI, vol. 16(9), pages 1-20, April.
- Salazar, R. & Serrano, M. & Abdelkefi, A., 2020. "Fatigue in piezoelectric ceramic vibrational energy harvesting: A review," Applied Energy, Elsevier, vol. 270(C).
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Keywords
digital-twin; long short-term memory network; remaining useful life prediction; piezoelectric vibration sensor; sample optimization;All these keywords.
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