OneBugMaker / DLCNN
1 提出了一种新的相似度损失(SimL),用于增大类间差异同时减小类内差异;2 SimL+CE优化CNN;3 基于电信号诊断轴承故障
☆13Updated 11 months ago
Alternatives and similar repositories for DLCNN
Users that are interested in DLCNN are comparing it to the libraries listed below
Sorting:
- Codes of paper "A Novel Framework Based on Adaptive Multi-Task Learning for Bearing Fault Diagnosis".☆22Updated 2 years ago
- We propose a novel semi-supervised learning framework for fault diagnosis in scenarios with limited labeled data, using a Multiscale and …☆11Updated 5 months ago
- Code for paper being submitted☆14Updated last month
- Python code for TCTL method☆12Updated 10 months ago
- Source codes for the paper "Domain generalization for rotating machinery fault diagnosis: A survey" published in Advanced Engineering Inf…☆29Updated 4 months ago
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis (故障诊断)☆31Updated last year
- A transfer learning model CoDats applied to fault diagnosis problem☆15Updated 4 years ago
- Fast Random Wavelet Kernel Convolution for Weak-Fault Diagnosis☆29Updated 3 months ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆28Updated last year
- The source code of the model: Multi-Scale Graph Convolutional Network with Contrastive-Learning enhanced Self-attention Pooling (MSGCN-CS…☆17Updated last year
- 论文“时变转速下基于改进图注意力网络的轴承半监督故障诊断”源码☆28Updated 3 years ago
- DMsrTTLN code☆17Updated 8 months ago
- This is a implemention of paper:Federated Temporal-Context Contrastive Learning for Fault Diagnosis using Multiple Datasets with Insuffic…☆14Updated last year
- Zero-shot fault diagnosis on the Tennessee–Eastman process by attribute fusion transfer. Paper: Attribute fusion transfer for zero-shot f…☆28Updated last year
- The code of our work “Mixed attention network for source-free domain adaptation in bearing fault diagnosis”.☆7Updated last year
- ☆16Updated last year
- ☆21Updated 2 years ago
- ☆11Updated 4 years ago
- This repository is for the implementation of SGWN.☆11Updated 7 months ago
- Code for the paper "A Novel Interpretable Model via Algorithm Unrolling for Intelligent Fault Diagnosis of Machinery"☆12Updated 5 months ago
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆42Updated 2 months ago
- ☆13Updated 3 years ago
- MLFNet: Multi-level Fusion Network based on multi-source information for Mechanical Fault Diagnosis under Limited and Imbalanced Datasets☆17Updated last year
- Paper code for An Iterative Resampling Deep Decoupling Domain Adaptation Method for Class-imbalance Bearing Fault Diagnosis Under Variant…☆17Updated last year
- MSTDA☆11Updated 7 months ago
- Variance discrepancy representation: A vibration characteristic-guided distribution alignment metric for fault transfer diagnosis☆21Updated 11 months ago
- The implementation of Multiplication Convolutional Networks (MCN) in Pytorch.☆20Updated 11 months ago
- Maximum mean square discrepancy: A new discrepancy representation metric for mechanical fault transfer diagnosis☆29Updated last year
- The PyTorch implementation for multi-task attention guided network (MTAGN) in End to End Multi-task learning with Attention for Multi-obj…☆23Updated last year
- ☆20Updated 2 years ago