SNBQT / Limited-Data-Rolling-Bearing-Fault-Diagnosis-with-Few-shot-LearningLinks
This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning
☆361Updated 3 years ago
Alternatives and similar repositories for Limited-Data-Rolling-Bearing-Fault-Diagnosis-with-Few-shot-Learning
Users that are interested in Limited-Data-Rolling-Bearing-Fault-Diagnosis-with-Few-shot-Learning are comparing it to the libraries listed below
Sorting:
- 基于注意力机制的少量样本故障诊断 pytorch☆251Updated 4 months ago
- This repository is for the transfer learning or domain adaptive with fault diagnosis.☆272Updated 2 years ago
- Source codes for the paper "Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative …☆499Updated 3 years ago
- A transfer learning fault diagnosis repository covering popular algorithms☆312Updated last year
- Fault Diagnosis Employing Transfer Learning Techniques: Domain Adaptation and Domain Generalization☆499Updated last year
- wdcnn轴承故障模型☆379Updated 7 years ago
- This is a reposotory that includes paper、code and datasets about domain generalization-based fault diagnosis and prognosis. (基于领域泛化的故障诊断和…☆344Updated 4 months ago
- ☆212Updated 6 years ago
- 智能故障诊断和寿命预测期刊（Journals of Intelligent Fault Diagnosis and Remaining Useful Life）☆412Updated 4 months ago
- This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…☆173Updated 4 years ago
- 1DCNN Fault Detection（1DCNN的轴承故障诊断）☆183Updated 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 …☆141Updated 8 months ago
- Bearing fault diagnosis model based on MCNN-LSTM☆380Updated 2 years ago
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆130Updated 5 years ago
- ☆102Updated 2 years ago
- ☆279Updated 7 years ago
- ☆112Updated 6 years ago
- 基于深度学习的滚动轴承故障诊断方法☆206Updated 6 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…☆59Updated 4 months ago
- The source codes of Meta-learning for few-shot cross-domain fault diagnosis.☆169Updated 8 months ago
- Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"☆718Updated 3 years ago
- this code library is mainly about applying graph neural networks to intelligent diagnostic and prognostic.☆291Updated 2 years ago
- Siamese network for bearing fault diagnosis☆91Updated 5 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。☆52Updated 2 years ago
- ☆70Updated last year
- CNN for mechanical fault diagnosis☆318Updated 7 years ago
- to prediction the remain useful life of bearing based on 2012 PHM data☆298Updated 4 years ago
- The intelligent fault diagnosis of HNU IDG☆113Updated 2 years ago
- ☆68Updated 4 years ago
- 分享的所有数据集均为开源的PHM（Prognostics and Health Management）数据，涵盖故障诊断、健康评估和寿命预测等领域。☆211Updated last year