phm
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Deep learning in PHM,Deep learning in fault diagnosis,Deep learning in remaining useful life prediction
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Mar 24, 2021
智能故障诊断和寿命预测期刊(Journals of Intelligent Fault Diagnosis and Remaining Useful Life)
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Dec 15, 2024
基于注意力机制的少量样本故障诊断 pytorch
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Sep 15, 2023 - Python
Datasets for Predictive Maintenance
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Dec 2, 2023 - Jupyter Notebook
The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of CMAPSS dataset. Signal selection, Attention mechanism, and Interpretability of deep learning are explored.
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Feb 18, 2023 - Python
Hypercomplex Neural Networks with PyTorch
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Dec 14, 2022 - Python
Remaining useful life estimation of NASA turbofan jet engines using data driven approaches which include regression models, LSTM neural networks and hybrid model which is combination of VAR with LSTM
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Oct 16, 2021 - Jupyter Notebook
remaining useful life, residual useful life, remaining life estimation, survival analysis, degradation models, run-to-failure models, condition-based maintenance, CBM, predictive maintenance, PdM, prognostics health management, PHM
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Apr 6, 2021 - Jupyter Notebook
Remaining useful life prediction. Degradation path approximation (DPA) is a highly easy-to-understand and brand-new solution way for data-driven RUL prediction. Many research directions on DPA can be further studied.
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Feb 27, 2024 - Python
Feature clustering and XIA for RUL estimation
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Feb 7, 2024 - Jupyter Notebook
Proposed a deep learning PRN method for Beijing PHM conference.
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Mar 15, 2025 - Python
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