2021 6th International Conference on Power and Renewable Energy (ICPRE) 2021
DOI: 10.1109/icpre52634.2021.9635550
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Early Fault Detection of Wind Turbine Gearbox Based on Adam-trained LSTM

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Cited by 4 publications
(1 citation statement)
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“…Wang et al adopted a DNN-based framework to detect the health states of a wind turbine (WT) gearbox [ 18 ]. Guo et al utilized an adam-trained LSTM to represent an oil temperature forecasting model to calculate the failure threshold [ 19 ]. Yang et al combined the LSTM with a generalized regression neural network (GRNN) to form a weighted-combination oil temperature prediction model [ 20 ].…”
Section: Introductionmentioning
confidence: 99%
“…Wang et al adopted a DNN-based framework to detect the health states of a wind turbine (WT) gearbox [ 18 ]. Guo et al utilized an adam-trained LSTM to represent an oil temperature forecasting model to calculate the failure threshold [ 19 ]. Yang et al combined the LSTM with a generalized regression neural network (GRNN) to form a weighted-combination oil temperature prediction model [ 20 ].…”
Section: Introductionmentioning
confidence: 99%