Tan-Qiyu / Deep_Learning_For_Fault_DiagnosisLinks
基于深度学习的机械故障诊断
☆35Updated last year
Alternatives and similar repositories for Deep_Learning_For_Fault_Diagnosis
Users that are interested in Deep_Learning_For_Fault_Diagnosis are comparing it to the libraries listed below
Sorting:
- 机械故障诊断公开数据集☆58Updated last year
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆39Updated 2 years ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆18Updated last year
- PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diag…☆27Updated last year
- 基于机器学习的机械故障诊断☆18Updated last year
- ☆33Updated 2 years ago
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆34Updated 2 years ago
- 基于深度学习的机械设备故障诊断方法研究☆41Updated 3 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 11 months ago
- ☆32Updated last year
- Transfer learning☆51Updated 3 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆42Updated last year
- 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)☆53Updated 2 weeks ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆35Updated 2 years ago
- ☆45Updated 3 years ago
- 一种新的基于动态图注意力网络和标签传播策略的半监督故障诊断方法☆36Updated 2 years ago
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆58Updated 4 months ago
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆39Updated 2 years ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆79Updated 2 months ago
- Source codes for the paper "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis"☆43Updated 3 years ago
- Leveraging multiple deep learning models for fault diagnosis☆29Updated 2 months ago
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆61Updated 10 months ago
- case study for remaining useful life estimation☆32Updated last year
- Deep learning models (RNN & LSTM & WaveNet) for predicting the remaining useful life of rolling element bearings using time series health…☆14Updated 3 months ago
- Random convolution layer: An auxiliary method to improve fault diagnosis performance☆30Updated 10 months ago
- Remaining useful life prediction by Transformer-based Model☆52Updated 2 years ago
- Official repository for the paper "Few‐shot multiscene fault diagnosis of rolling bearing under compound variable working conditions"☆14Updated last year
- TCN-LSTM Motor Vibration Fault Diagnosis Model☆28Updated 10 months ago
- 基于小波时频图与 Swin Transformer 的轴承故障诊断方法☆42Updated last year