phm

There are 4 repositories under phm topic.

hustcxl / Deep-learning-in-PHM
Deep learning in PHM，Deep learning in fault diagnosis，Deep learning in remaining useful life prediction
deep-learning fault-diagnosis phm health-management rul
373
liguge / Journals-of-Prognostics-and-Health-Management
智能故障诊断和寿命预测期刊（Journals of Intelligent Fault Diagnosis and Remaining Useful Life）
fault-diagnosis intelligent-fault-diagnosis artificial-intelligence deep-learning machine-learning phm prognostics-and-health-management
224
liguge / Fault-diagnosis-for-small-samples-based-on-attention-mechanism
基于注意力机制的少量样本故障诊断 pytorch
deep-learning fault-diagnosis intelligent-fault-diagnosis machine-learning phm small-sample
Language:Python 165
CHAOZHAO-1 / DG-PHM
This is a reposotory that includes paper、code and datasets about domain generalization-based fault diagnosis and prognosis. (基于领域泛化的故障诊断和预测，持续更新)
diagnosis domain fault generalization phm prognosis benchmark dataset transfer
112
kokikwbt / predictive-maintenance
Datasets for Predictive Maintenance
ai-engineering industry-4 machine-learning predictive-maintenance remaining-useful-life anomaly condition-based-maintenance survival-analysis anomaly-detection time-series time-series-analysis forecasting automation phm prognosis-and-health-management run-to-failure-models run-to-failure event-to-event time-to-event degradation
Language:Jupyter Notebook 82
eleGAN23 / HyperNets
Hypercomplex Neural Networks with PyTorch
convolutional-neural-networks hypercomplex-neural-networks lightweight-neural-network efficient-neural-networks quaternion-neural-networks hypercomplex-algebra phc phm pytorch hypercomlpex-parameterization parameterize-neural-network lightweight-convolution hypercomplex hypercomplex-convolution parameterize-hypercomplex-layer
Language:Python 44
foryichuanqi / RESS-Paper-2022.09-Remaining-useful-life-prediction-by-TaFCN
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.
attention-mechanism cmapss fcn interpretability keras phm remaining-useful-life-prediction tensorflow
Language:Python 41
ritu-thombre99 / RUL-Prediction
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
rul remaining-useful-life phm phm-models lstm-neural-networks lstm-model vector-autoregression regression regression-models linear-regression random-forest logistic-regression
Language:Jupyter Notebook 20
ericlrf / rul
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
remaining-useful-life remaining-life-estimation residual-useful-life survival-analysis degradation-models run-to-failure-models predictive-maintenance pdm prognostics-health-management phm rul rul-prediction prognostics condition-monitoring failure-prediction condition-based-maintenance cbm
Language:Jupyter Notebook 18
hilinxinhui / battery_phm
Algorithms for Battery Mangerment System
li-ion-battery phm torch cnn lstm time-series-to-image-transformation battery-management-system soh-estimation
Language:Jupyter Notebook 9
foryichuanqi / ADVEI-Paper-2024.3-Degradation-path-approximation-for-remaining-useful-life-estimation
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.
data-driven degradation phm remaining-useful-life-prediction
Language:Python 7
adam-aalah / Feature-clustering-and-XAI-for-RUL-estimation
Feature clustering and XIA for RUL estimation
c-mapss explainable-ai feature-clustering lstm phm remaining-useful-life remaining-useful-life-prediction xai deep-learning machine-learning rul-prediction turbofan-engine python r
Language:Jupyter Notebook 2
minelabwot / minelabwot.github.io
Industrial AI Group @ School of Information and Communication Engineering, BUPT
team mainpage phm
sli1989 / CXL_Notes
Study Notes
bearing phm
Language:Jupyter Notebook
YChuan1115 / Prognosis
ai phm
Language:Jupyter Notebook
YChuan1115 / RUL-in-PHM
ai phm
Language:Jupyter Notebook