jj574435561 / bearing-grease-age-predictionLinks
This work presents a multi-feature fusion neural network (MSFN) comprised of two inception layer-type multiple channel networks (MCN) for both inner-sensor and cross-sensor feature fusion and a deep residual neural network (ResNet) for accurate grease life prediction and bearings health monitoring.
☆19Updated 4 years ago
Alternatives and similar repositories for bearing-grease-age-prediction
Users that are interested in bearing-grease-age-prediction are comparing it to the libraries listed below
Sorting:
- ☆23Updated 4 years ago
- Produce an example using LSTM to predict remaining useful life of machinery☆16Updated last year
- Deep learning models (RNN & LSTM & WaveNet) for predicting the remaining useful life of rolling element bearings using time series health…☆14Updated 4 months ago
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆41Updated 3 years ago
- 基于深度学习的机械故障诊断☆35Updated last year
- case study for remaining useful life estimation☆33Updated last year
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆81Updated 2 months ago
- Remain useful life prediction of rolling bearing.☆57Updated 4 years ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆35Updated 2 years ago
- ☆108Updated 2 years ago
- ☆33Updated last year
- Reamain Useful Life Prediction of Bearing☆12Updated 2 years ago
- Remaining useful life prediction by Transformer-based Model☆51Updated 2 years ago
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆31Updated last year
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆34Updated 2 years ago
- Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research …☆46Updated 3 years ago
- Remaining useful life prediction of aero-engines via domain-invariant and -specific features under the scenarios of working-condition shi…☆10Updated 2 years ago
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆57Updated 2 years ago
- Remaining useful life prediction for N-CMAPSS dataset☆18Updated 3 years ago
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis （故障诊断）☆33Updated last year
- The implementation of Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction in PyTorch.☆35Updated last year
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆36Updated 2 years ago
- MSTDA☆11Updated 9 months ago
- TL-UESTC / Privacy-Preserving-Adaptive-Remaining-Useful-Life-Prediction-via-Source-Free-Domain-AdaptionThe implementation of Privacy-Preserving Adaptive Remaining Useful Life Prediction via Source-Free Domain Adaption in PyTorch.☆23Updated 4 months ago
- This is an official code of "Bi-LSTM based Two-Stream Network for Machine Remaining Useful Life Prediction"☆14Updated last year
- Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer☆69Updated 2 years ago
- xLSTM: Extended Long Short-Term Memory for Intelligent Fault Diagnosis of Rolling Bearings☆30Updated last year
- code for DFAWnet☆36Updated 2 years ago
- ☆10Updated 4 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆42Updated last year