Remaining Life Prediction of Shielding Sleeves Based on Data Augmentation and Hybrid Models. [PDF]
Zhang X, Xiang X, Li H, Liu N, Chen Z.
europepmc +1 more source
Data-Driven Health Prognostics of NMC Lithium-Ion Batteries via Impedance Spectroscopy Using a Hybrid CNN-BiLSTM Model. [PDF]
Liu Z +5 more
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SAMS-Net: A Smoothness-Anchored Monotone Neural Differential Equation Network for Failure-Only-Supervised Structural Health Indicator Construction. [PDF]
Yang Y, Xu C, Li X.
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Genetic Algorithm-Optimized CNN-BiLSTM Framework for Predicting the Remaining Useful Life of IGBT Modules. [PDF]
Hao Y +5 more
europepmc +1 more source
A TCN-Attention fusion model for fault prediction and remaining useful life estimation of large-scale mining equipment. [PDF]
Mao J, Xu W, Li D, Zhu H, Yang F.
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Robust HMM-Based Remaining Useful Life Estimation Using a Ridge-Regularized EM Algorithm. [PDF]
Küçükdağ HB, Kirkil G, Hekimoğlu M.
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A novel dual-dimensional contrastive self-supervised learning-based framework for rolling bearing remaining useful life prediction. [PDF]
Shen Z +5 more
europepmc +1 more source
Remaining useful life prediction method based on gated dilation causal convolution. [PDF]
He J, Sun W, Zhang C.
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RUL Prediction Based on xLSTM-Transformer Neural Network for Rolling Element Bearings Under Different Working Conditions. [PDF]
Jiang R +5 more
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A sparrow search algorithm-optimized LSTM framework with EMD denoising for rolling element bearing remaining useful life prediction. [PDF]
Li Q, Zhang B, Fang X.
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