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References from Linearly constrained multi-representation domain generalization for unseen-bearing RUL prediction. Local targets link to admitted publications; unresolved targets remain external evidence.
“Use of paris law for prediction of component remaining life,”
10.1109/aero.2008.4526611 · 2008 · External reference
“A unified multi-scale deep convolutional neural network for fast object detection,”
10.1007/978-3-319-46493-0_22 · 2016 · External reference
A deep learning-based remaining useful life prediction approach for bearings
10.1109/tmech.2020.2971503 · 2020 · External reference
A review of physics-based models in prognostics: application to gears and bearings of rotating machinery
10.1177/1687814016664660 · 2016 · External reference
A calibration-based hybrid transfer learning framework for rul prediction of rolling bearing across different machines
10.1109/tim.2023.3260283 · 2023 · External reference
Domain generalization via adversarial out-domain augmentation for remaining useful life prediction of bearings under unseen conditions
10.1016/j.knosys.2022.110199 · 2023 · External reference
A review of prognostic and health management (phm) methods and limitations for marine diesel engines: New research directions
10.3390/machines11070695 · 2023 · External reference
Electrical bearing failures in electric vehicles
10.1007/s40544-019-0356-5 · 2020 · External reference
Rotating machinery prognostics: state of the art, challenges and opportunities
10.1016/j.ymssp.2008.06.009 · 2009 · External reference
A novel deep convolutional neural network-bootstrap integrated method for rul prediction of rolling bearing
10.1016/j.jmsy.2021.03.012 · 2021 · External reference
A data-driven approach for bearing fault prognostics
10.1109/tia.2019.2907666 · 2019 · External reference
Enhanced bearing rul prediction based on dynamic temporal attention and mixed mlp
10.1007/s43684-024-00088-4 · 2025 · External reference
10.1007/978-3-319-44742-1
10.1007/978-3-319-44742-1 · 2017 · External reference
Cross-domain remaining useful life prediction under unseen condition via mixed data and domain generalization
10.1016/j.measurement.2024.116451 · 2025 · External reference
Machinery health prognostics: a systematic review from data acquisition to rul prediction
10.1016/j.ymssp.2017.11.016 · 2018 · External reference
Self-attention convlstm and its application in rul prediction of rolling bearings
10.1109/tim.2021.3086906 · 2021 · External reference
Physics guided neural network: remaining useful life prediction of rolling bearings using long short-term memory network through dynamic weighting of degradation process
10.1016/j.engappai.2023.107350 · 2024 · External reference
A review on prognostics and health management (phm) methods of lithium-ion batteries
10.1016/j.rser.2019.109405 · 2019 · External reference
“Pronostia: an experimental platform for bearings accelerated degradation tests,”
2012 · External reference
Multi-scale time series analysis using tt-convlstm technique for bearing remaining useful life prediction
10.1016/j.ymssp.2023.110888 · 2024 · External reference
“Prognostics/diagnostics for gas turbine engine bearings,”
10.1115/gt2003-38075 · 2003 · External reference
Bearing degradation evaluation using recurrence quantification analysis and kalman filter
10.1109/tim.2014.2313034 · 2014 · External reference
Damage mechanics approach for bearing lifetime prognostics
10.1006/mssp.2002.1483 · 2002 · External reference
Prediction of bearing remaining useful life with deep convolution neural network
10.1109/access.2018.2804930 · 2018 · External reference
Bidirectional recurrent neural networks
10.1109/78.650093 · 1997 · External reference
Prognostic modelling options for remaining useful life estimation by industry
10.1016/j.ymssp.2010.11.018 · 2011 · External reference
Prognostics and health management: a review on data driven approaches
10.1155/2015/793161 · 2015 · External reference
A hybrid prognostics approach for estimating remaining useful life of rolling element bearings
10.1109/tr.2018.2882682 · 2020 · External reference
Asdinnorm: a single-source domain generalization method for the remaining useful life prediction of bearings
10.3390/lubricants12050175 · 2024 · External reference
Machinery degradation inspection and maintenance using a cost-optimal non-fixed periodic strategy
10.1109/tim.2016.2563998 · 2016 · External reference
Rul prediction method for rolling bearing using convolutional denoising autoencoder and bidirectional LSTM
10.1088/1361-6501/ad123c · 2023 · External reference
Estimation of bearing remaining useful life based on multiscale convolutional neural network
10.1109/tie.2018.2844856 · 2019 · External reference
Prognostics and health management (phm): Where are we and where do we (need to) go in theory and practice
10.1016/j.ress.2021.108119 · 2022 · External reference
