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LSTM-based deep learning approach for remaining useful life..:
Sahu, Prashant Kumar
;
Rai, Rajiv Nandan
Journal of Mechanical Science and Technology. 38 (2024) 5 - p. 2197-2209 , 2024
Link:
https://doi.org/10.1007/s12206-024-0402-8
RT Journal T1 <Title>LSTM-based deep learning approach for remaining useful life prediction of rolling bearing using proposed C-MMPE feature</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_s12206-024-0402-8&Exemplar=1&LAN=DE A1 Sahu, Prashant Kumar A1 Rai, Rajiv Nandan PB Springer Science and Business Media LLC YR 2024 SN 1738-494X SN 1976-3824 JF Journal of Mechanical Science and Technology VO 38 IS 5 SP 2197 OP 2209 LK http://dx.doi.org/https://doi.org/10.1007/s12206-024-0402-8 DO https://doi.org/10.1007/s12206-024-0402-8 SF ELIB - SuUB Bremen
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