marcialbaptista / 1D-DGAN-PHMLinks
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
Alternatives and similar repositories for 1D-DGAN-PHM
Users that are interested in 1D-DGAN-PHM are comparing it to the libraries listed below
Sorting:
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆35Updated 2 years ago
- ☆108Updated 2 years ago
- Source codes for the paper "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis"☆44Updated 4 years ago
- 1D-CNN Vibration Signal Bearing Fault Diagnosis☆57Updated last year
- ☆23Updated 3 years ago
- It comes from eight universities, Case Western Reserve University(CWRU), Beijing University of Aeronautics and Astronautics(BUAA), Southe…☆21Updated 5 years ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆83Updated 4 months ago
- Implementation of categorical generative adversarial networks for unsupervised bearing fault diagnostics☆58Updated 3 years ago
- ☆34Updated 2 years ago
- 基于Laplace小波卷积和BiGRU的少量样本故障诊断方法 (Small sample fault diagnosis based on Laplace wavelet convolution and BiGRU)☆58Updated 3 months ago
- This work presents a multi-feature fusion neural network (MSFN) comprised of two inception layer-type multiple channel networks (MCN) for …☆19Updated 4 years ago
- 基于深度学习的机械故障诊断☆35Updated last year
- ☆10Updated 5 years ago
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆36Updated 2 years ago
- ☆23Updated 4 years ago
- case study for remaining useful life estimation☆33Updated last year
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆42Updated 2 years ago
- Source codes for paper "A weighted multi-scale dictionary learning model and its applications on bearing fault diagnosis"☆43Updated 5 years ago
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆42Updated 3 years ago
- ☆33Updated 2 years ago
- Remain useful life prediction of rolling bearing.☆58Updated 4 years ago
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆40Updated 2 years ago
- ☆23Updated 2 years ago
- zggg1p / A-Domain-Adaption-Transfer-Learning-Bearing-Fault-Diagnosis-Model-Based-on-Wide-Convolution-Deep-NeuInspired by the idea of transfer learning, a combined approach is proposed. In the method, Deep Convolutional Neural Networks with Wide …☆131Updated 6 months ago
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆38Updated 3 years ago
- We have developed an innovative deep learning model, PSECNet, for the prediction of bearing Remaining Useful Life (RUL) on the IEEE 2012 …☆30Updated last year
- ☆23Updated 2 years ago
- Produce an example using LSTM to predict remaining useful life of machinery☆16Updated last year
- The implementation of Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction in PyTorch.☆36Updated last year
- Remaining useful life prediction by Transformer-based Model☆51Updated 3 years ago