zhaobiebie's Stars
yangwohenmai/LSTM
基于LSTM的时间序列预测研究
laszukdawid/PyEMD
Python implementation of Empirical Mode Decompoisition (EMD) method
shunyaoshih/TPA-LSTM
Temporal Pattern Attention for Multivariate Time Series Forecasting
xinlianghu/svm
用Python实现SVM多分类器
zhaoxingfeng/RandomForest
随机森林，Random Forest（RF）
jiaxiang-cheng/PyTorch-Transformer-for-RUL-Prediction
Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021). Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit. Journal of Intelligent Manufacturing, 1-10.
LahiruJayasinghe/RUL-Net
Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine
riken-aip/pyHSICLasso
Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data
WenPengfei0823/PINN-Battery-Prognostics
State of Health (SoH) and Remaining Useful Life (RUL) prediction for Li-ion batteries based on Physics-Informed Neural Networks (PINN).
jiaxiang-cheng/PyTorch-LSTM-for-RUL-Prediction
PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Partially inspired by Zheng, S., Ristovski, K., Farahat, A., & Gupta, C. (2017, June). Long short-term memory network for remaining useful life estimation.
UtkarshPanara/Remaining-Useful-Life-Prediction-for-Turbofan-Engines
RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN
MProx/Wavelet-denoising
A script to use the PyWavelet library to perform denoising on a signal using a multi-level signal decomposition using a discrete wavelet transform.
zhmou/Turbofan-engine-RUL-prediction
RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf
jiaxiang-cheng/PyTorch-CNN-for-RUL-Prediction
PyTorch implementation of CNN for remaining useful life prediction. Inspired by Babu, G. S., Zhao, P., & Li, X. L. (2016, April). Deep convolutional neural network-based regression approach for estimation of remaining useful life. In International conference on database systems for advanced applications (pp. 214-228). Springer, Cham.
alishbaimran/Attention-based-CNN-BiLSTM-Battery-SOH-Prediction
Attention-based CNN-BiLSTM for SOH prediction of lithium-ion batteries
VaibhavBhujade/RUL-of-Lithium-Ion-Battery
Prediction of RUL of Lithium ion battery
ZhaoZhibin/Probabilistic_RUL_Prediction
Zzzsdu/DAST
The code of DAST
abiodun-ayodeji/Attention_based_MultiHead_model_for_aircraft_engine_RUL_prediction_
Attention-based multihead model for optimized aircraft engine remaining useful life prediction
LazyLZ/multi-head-attention-for-rul-estimation
ZeHuiGong/AFSM
Tackle the problem of significant scale variation in object detection using adaptve feature selection module (AFSM).
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
KodeWorker/phm-rul-estimation
case study for remaining useful life estimation
anuj1501/Remaining-Useful-Life-of-ball-bearing-using-Hilbert-Huang-Entropy
0zean/HHT-MARS
A hybrid forecasting model that combines the Hilbert-Huang Transform and Multivariate Adaptive Regression Splines
aishwaryajadhav/Ball-Bearing-Fault-Analysis-and-Lifetime-Prediction
meitetsu3/SystemHealthIndicator
System Health Indicator using Deep Auto-Encoder
raja275/Wind-Turbine-Remaining-Useful-Life
Predicting Wind Turbine Remaining Useful Life using exponential Degradation model
vibraneur-capstone/vape-neural-net
Neural net for the bearing RUL prediction
andrea-fantini/Predictive_Maintenance_Fanjet
This model aims at predicting the imminent failure of a jet engine. It's based on Engine Degradation Simulation data released in 2008 by the Prognostics Center of Excellence at NASA’s Ames research center.