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Search: "[ keyword: Prognostics and Health Management ]" (3)

Deep Learning-Based Non-Linear Prediction of Remaining Useful Life of Aircraft Engines

Min-Jung Kim, Kang-Won Lee The Transactions of the Korea Information Processing Society, Vol. 14, No. 12, pp. 1097-1104, Dec. 2025

10.3745/TKIPS.2025.14.12.1097
Keywords: Remaining useful life prediction, Prognostics and Health Management (PHM), Deep Learning, Aircraft Turbofan Engines, C-MAPSS Dataset

Prediction Remaining Useful Life of Aircraft Turbofans Using Transfer Learning Based CNN-LSTM

Kim Jeong Min, Kang Hyeon Woo, Cho Young Ki, Kwon Gi Hyuk, An Seo Yeon, Kim Hun Kee The Transactions of the Korea Information Processing Society, Vol. 13, No. 12, pp. 700-709, Dec. 2024

https://doi.org/10.3745/TKIPS.2024.13.12.700
Keywords: Prognostics and Health Management, Remaining useful life prediction, CNN-LSTM, Transfer Learning, C-MAPSS Dataset

Gear Fault Diagnosis Based on Residual Patterns of Current and Vibration Data by Collaborative Robot’s Motions Using LSTM

Baek Ji Hoon, Yoo Dong Yeon, Lee Jung Won KIPS Transactions on Software and Data Engineering, Vol. 12, No. 10, pp. 445-454, Oct. 2023

https://doi.org/10.3745/KTSDE.2023.12.10.445
Keywords: Gear Fault Diagnosis, Correlation Analysis, LSTM, Collaborative Robot, Prognostics and Health Management

Digital Library

Deep Learning-Based Non-Linear Prediction of Remaining Useful Life of Aircraft Engines

Prediction Remaining Useful Life of Aircraft Turbofans Using Transfer Learning Based CNN-LSTM

Gear Fault Diagnosis Based on Residual Patterns of Current and Vibration Data by Collaborative Robot’s Motions Using LSTM

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