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☆69Updated 2 years ago
- 轴承故障诊断☆120Updated 3 years ago
- 一种轻量化故障诊断框架——LiConvFormer☆141Updated last year
- ☆108Updated 2 years 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。☆45Updated 2 years ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆19Updated 2 years ago
- Transfer learning☆62Updated 4 years ago
- 基于迁移学习DANN模型,对不同工况轴承进行故障诊断☆60Updated 4 years ago
- The intelligent fault diagnosis of HNU IDG☆121Updated 3 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 …☆144Updated 10 months ago
- This is official code for paper "Few-Shot Bearing Fault Diagnosis via Ensembling Transformer-based Model with Mahalanobis Distance Metric…☆11Updated last year
- Using LSTM to predict bearings' remaining useful life☆50Updated 4 years ago
- 基于深度学习的机械设备故障诊断方法研究☆48Updated 3 years ago
- 基于注意力机制的少量样本故障诊断 pytorch☆268Updated 6 months ago
- A few shot learning repository for bearing fault diagnosis.☆103Updated 2 years ago
- An open-source mechanical failure dataset is available, comprising 30+ categories including bearings, gears, pumps, and others.(30余个开源故障…☆85Updated 6 months ago
- This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.☆96Updated 3 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)☆68Updated 6 months ago
- Hongchun-Qu / Research-and-Application-of-Bearing-Fault-Diagnosis-Based-on-Deep-Encoder-Classification-Model☆13Updated 3 years ago
- One model for RUL and fault prognostic prediction on XJTU bearing dataset☆98Updated 6 years ago
- ☆47Updated 3 years ago
- case study for remaining useful life estimation☆34Updated last year
- Remain useful life prediction of rolling bearing.☆58Updated 5 years ago
- ☆23Updated 3 years ago
- : Faulty and healthy gear box Data sets need to be analyzed in detail. Here, we created this dataset for those who do research in wind tu…☆62Updated 7 years ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆40Updated 2 years ago
- ☆19Updated 3 years ago
- Remaining useful life prediction by Transformer-based Model☆53Updated 3 years ago
- Bearing Fault Diagnosis By CNN、LSTM+CNN、GRU+CNN、SelfAttention+CNN☆39Updated last year
- This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…☆190Updated 4 years ago