WunaiDczh / Few_data_LearingView external linksLinks
☆14May 26, 2022Updated 3 years ago
Alternatives and similar repositories for Few_data_Learing
Users that are interested in Few_data_Learing are comparing it to the libraries listed below
Sorting:
- ☆22Nov 23, 2022Updated 3 years ago
- A python program to build ResNet-1D model and DRSN-1D model in keras environment.☆11Mar 29, 2023Updated 2 years ago
- ☆47Apr 25, 2022Updated 3 years ago
- ☆23Jul 30, 2022Updated 3 years ago
- Hierarchical diagnosis of bearing faults using branch convolutional neural network considering noise interference and variable working co…☆26Nov 20, 2022Updated 3 years ago
- ☆109Mar 26, 2023Updated 2 years ago
- Siamese network for bearing fault diagnosis☆93Jan 18, 2020Updated 6 years ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆40Mar 27, 2023Updated 2 years ago
- Multiclass bearing fault classification using features learned by a deep neural network.☆36Mar 19, 2022Updated 3 years ago
- This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning☆371Oct 10, 2022Updated 3 years ago
- ☆64Jul 13, 2019Updated 6 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。☆46Apr 18, 2023Updated 2 years ago
- Inspired by the idea of transfer learning, a combined approach is proposed. In the method, Deep Convolutional Neural Networks with Wide …☆148Feb 28, 2025Updated 11 months ago
- Code sharing of fault diagnosis papers.☆58Dec 30, 2023Updated 2 years 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。☆57Mar 26, 2023Updated 2 years ago
- Codes of paper "A Novel Framework Based on Adaptive Multi-Task Learning for Bearing Fault Diagnosis".☆23Apr 28, 2023Updated 2 years ago
- Transfer learning☆62Aug 13, 2021Updated 4 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)☆68Jun 10, 2025Updated 8 months ago
- Use GRU,LSTM,CNN to predict the RUL in C-MAPSS dataset☆32Dec 5, 2023Updated 2 years ago
- PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diag…☆31Sep 26, 2023Updated 2 years ago
- ☆119Aug 27, 2024Updated last year
- Vibrational Analysis for CWRU Bearing Dataset☆33Nov 28, 2022Updated 3 years ago
- Siamese-based ConviMixer combined with few-shot learning for classification under limited data☆27Feb 17, 2024Updated last year
- Remaining Useful Life (RUL) prediction for Turbofan Engines☆27Nov 16, 2021Updated 4 years ago
- 一种轻量化故障诊断框架——LiConvFormer☆149Dec 24, 2024Updated last year
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆34Oct 19, 2023Updated 2 years ago
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆135Jul 13, 2020Updated 5 years ago
- 🧠 A model for early detection of multiple faults in induction motors based on the use of PCA and multilabel decision-trees☆34Jun 2, 2021Updated 4 years ago
- 单纯形法，运输问题的Python简单实现。最优化方法课程作业，设计一个可以运行的平台软件，可以选择单纯形、运输问题求解。☆14Jan 5, 2021Updated 5 years ago
- This repository contains the source codes of a novel variant of the Grey Wolf Optimization (GWO) algorithm, named Velocity-Aided Grey Wol…☆12Mar 18, 2022Updated 3 years ago
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆36Feb 18, 2023Updated 2 years ago
- Capsule network for fault diagnosis （胶囊网络用于故障诊断）☆34May 16, 2023Updated 2 years ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆46Oct 31, 2022Updated 3 years ago
- Bearing fault diagnosis model based on MCNN-LSTM☆410Jul 20, 2023Updated 2 years ago
- 一种数字孪生辅助的高度不平衡故障诊断新框架☆109Mar 17, 2024Updated last year
- wdcnn model for bearing fault diagnosis☆34Jan 18, 2020Updated 6 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆44Jul 27, 2023Updated 2 years ago
- Code and data for our paper on IEEE-TIE: Integrating Expert Knowledge with Domain Adaptation for Unsupervised Fault Diagnosis☆43Nov 7, 2022Updated 3 years ago
- This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…☆193May 6, 2021Updated 4 years ago