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☆67Updated 2 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
- ☆108Updated 2 years ago
- 一种轻量化故障诊断框架——LiConvFormer☆129Updated 11 months ago
- 轴承故障诊断☆118Updated 3 years ago
- 基于注意力机制的少量样本故障诊断 pytorch☆263Updated 5 months ago
- Transfer learning☆60Updated 4 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 9 months ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆19Updated last year
- The intelligent fault diagnosis of HNU IDG☆117Updated 3 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
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆62Updated 9 months ago
- Leveraging multiple deep learning models for fault diagnosis☆48Updated 2 weeks 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…☆187Updated 4 years ago
- A few shot learning repository for bearing fault diagnosis.☆102Updated 2 years ago
- ☆46Updated 3 years ago
- Awsome-Multi-modal-based PHM (基于多模态的故障诊断和预测)☆90Updated 5 months ago
- Bearing Fault Diagnosis By CNN、LSTM+CNN、GRU+CNN、SelfAttention+CNN☆39Updated last year
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling (pytorch)☆45Updated 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)☆65Updated 5 months ago
- 这是一个首层卷积为宽卷积的深度神经网络Deep Convolutional Neural Networks with Wide First-layer Kernels (WDCNN)的实现,该模型具有优越的抗噪能力,可用于轴承的智能故障诊断。☆56Updated 2 years ago
- Remaining useful life prediction by Transformer-based Model☆53Updated 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…☆61Updated 7 years ago
- ☆38Updated last year
- 基于机器学习的机械故障诊断☆18Updated last year
- 基于深度学习的机械故障诊断☆37Updated last year
- 基于图神经网络的机械故障诊断☆104Updated last year
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆115Updated 11 months 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…☆73Updated 5 months ago