v3551G / Imaging_sequence_data
☆21Updated 3 years ago
Related projects: ⓘ
- 智能故障诊断中一维类梯度激活映射可视化展示 1D-Grad-CAM for interpretable intelligent fault diagnosis☆86Updated last year
- This is the code for WaveletKernelNet.☆96Updated 3 years ago
- 基于可变形卷积和注意力机制的滚动轴承故障诊断☆40Updated 3 years ago
- The PyTorch implementation for multi-task attention guided network (MTAGN) in End to End Multi-task learning with Attention for Multi-obj…☆16Updated 9 months ago
- ☆76Updated 3 weeks ago
- ☆44Updated 8 months ago
- 1-dimension swin transformer implenmentation.☆13Updated last week
- Models Supported: Inception [v1, v2, v3, v4], SE-Inception, Inception_ResNet [v1, v2], SE-Inception_ResNet (1D and 2D version with DEMO f…☆33Updated 2 years ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆56Updated 4 months ago
- 基于小波时频图与 Swin Transformer 的轴承故障诊断方法☆27Updated last year
- Code sharing of fault diagnosis papers.☆42Updated 8 months ago
- The code for paper "A Multi-View Multi-Scale Neural Network for Multi-Label ECG Classification"☆23Updated last year
- Models supported: ResNet, ResNetV2, SE-ResNet, ResNeXt, SE-ResNeXt [layers: 18, 34, 50, 101, 152] (1D and 2D versions with DEMO for Class…☆42Updated 2 years ago
- Maximum mean square discrepancy: A new discrepancy representation metric for mechanical fault transfer diagnosis☆24Updated last year
- ☆29Updated last year
- PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diag…☆22Updated 11 months ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling (pytorch)☆28Updated last year
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆27Updated last year
- 一种轻量化故障诊断框架——LiConvFormer☆57Updated last year
- The code of Interpretable Convolutional Neural Network with Multilayer Wavelet for Noise-Robust Machinery Fault Diagnosis☆38Updated 2 years ago
- Semi-Supervised Density Peak Clustering Algorithm, Incremental Learning, Fault Detection(基于半监督密度聚类+增量学习的故障诊断)☆66Updated 2 years ago
- ☆20Updated last year
- The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆24Updated 4 years ago
- Awsome-Multi-modal-based PHM (基于多模态的故障诊断和预测,持续更新)☆31Updated 5 months ago
- SQ dataset for fault diagnosis pulished by Xi'an jiaotong University☆12Updated last year
- this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Faul…☆83Updated 8 months ago
- ☆68Updated 2 years ago
- ☆18Updated this week
- Swin-Transformer 1D implements☆37Updated 3 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)☆43Updated last year