sxycchb / Transformer_BearingFaultDiagnosis-masterLinks
☆14Updated 2 years ago
Alternatives and similar repositories for Transformer_BearingFaultDiagnosis-master
Users that are interested in Transformer_BearingFaultDiagnosis-master are comparing it to the libraries listed below
Sorting:
- Using transformer to realize Bearing Fault Diagnosis☆66Updated 2 years ago
- ☆102Updated 2 years ago
- 轴承故障诊断☆110Updated 3 years ago
- This is official code for paper "Few-Shot Bearing Fault Diagnosis via Ensembling Transformer-based Model with Mahalanobis Distance Metric…☆10Updated last year
- 一种轻量化故障诊断框架——LiConvFormer☆121Updated 10 months ago
- 采用一种包含加权水平可见图(WHVG)的图卷积网络(GCN)，对采样的轴承震动时间序列数据分析，进行滚动轴承故障诊断。其中，对HVG中两节点的边，以节点距离的倒数作为权重进行加权，以削弱噪声节点对其他距离较远节点的影响。☆43Updated 2 years ago
- 基于注意力机制的少量样本故障诊断 pytorch☆251Updated 4 months ago
- Transfer learning☆57Updated 4 years ago
- The intelligent fault diagnosis of HNU IDG☆113Updated 2 years ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆19Updated last year
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆61Updated 8 months ago
- 基于迁移学习DANN模型，对不同工况轴承进行故障诊断☆56Updated 4 years ago
- Bearing Fault Diagnosis By CNN、LSTM+CNN、GRU+CNN、SelfAttention+CNN☆37Updated 10 months 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)☆61Updated 4 months ago
- A few shot learning repository for bearing fault diagnosis.☆101Updated 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 …☆141Updated 7 months ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆44Updated 2 years ago
- ☆47Updated 3 years ago
- ☆19Updated 3 years ago
- case study for remaining useful life estimation☆34Updated last year
- We have developed an innovative deep learning model, PSECNet, for the prediction of bearing Remaining Useful Life (RUL) on the IEEE 2012 …☆31Updated last year
- ☆26Updated 3 years ago
- Remain useful life prediction of rolling bearing.☆58Updated 4 years ago
- Hongchun-Qu / Research-and-Application-of-Bearing-Fault-Diagnosis-Based-on-Deep-Encoder-Classification-Model☆13Updated 3 years ago
- This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…☆173Updated 4 years ago
- Leveraging multiple deep learning models for fault diagnosis☆43Updated 2 months ago
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆114Updated 10 months ago
- 基于深度学习的机械设备故障诊断方法研究☆47Updated 3 years ago
- this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Faul…☆140Updated 6 months ago
- 基于深度学习的滚动轴承故障诊断方法☆202Updated 6 years ago