jj574435561 / bearing-grease-age-prediction
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.
☆18Updated 3 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
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆35Updated 2 years ago
- Source codes for the paper "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis"☆44Updated 3 years ago
- ☆19Updated 4 years ago
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆41Updated 2 years ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆18Updated last year
- Produce an example using LSTM to predict remaining useful life of machinery☆15Updated last year
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆33Updated 2 years ago
- case study for remaining useful life estimation☆30Updated 11 months ago
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis （故障诊断）☆27Updated 11 months ago
- ☆15Updated 4 years ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆72Updated 11 months ago
- ☆101Updated 2 years ago
- Reamain Useful Life Prediction of Bearing☆12Updated 2 years ago
- Remain useful life prediction of rolling bearing.☆57Updated 4 years ago
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆56Updated 2 years ago
- ☆30Updated last year
- ☆10Updated 4 years ago
- Denoising method for C-MAPSS based on a denoising GAN. Includes other six denoising methods such as DAE, SG filter, etc.☆11Updated 2 years ago
- 论文“时变转速下基于改进图注意力网络的轴承半监督故障诊断”源码☆28Updated 2 years ago
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆21Updated last year
- We have developed an innovative deep learning model, PSECNet, for the prediction of bearing Remaining Useful Life (RUL) on the IEEE 2012 …☆28Updated 9 months ago
- xLSTM: Extended Long Short-Term Memory for Intelligent Fault Diagnosis of Rolling Bearings☆28Updated 10 months ago
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆37Updated 2 years ago
- ☆42Updated 2 weeks ago
- ☆22Updated 2 years ago
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆26Updated 2 years ago
- SQ dataset for fault diagnosis pulished by Xi'an jiaotong University☆15Updated 2 years ago
- Remaining useful life prediction for N-CMAPSS dataset☆18Updated 3 years ago
- 基于小波时频图与 Swin Transformer 的轴承故障诊断方法☆37Updated last year
- Transfer learning☆50Updated 3 years ago