HazeDT / PHMGNNBenchmark
this code library is mainly about applying graph neural networks to intelligent diagnostic and prognostic.
☆237Updated last year
Alternatives and similar repositories for PHMGNNBenchmark:
Users that are interested in PHMGNNBenchmark are comparing it to the libraries listed below
- This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…☆142Updated 3 years ago
- 智能故障诊断和寿命预测期刊(Journals of Intelligent Fault Diagnosis and Remaining Useful Life)☆321Updated last month
- 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…☆223Updated last month
- A transfer learning fault diagnosis repository covering popular algorithms☆210Updated 5 months ago
- to prediction the remain useful life of bearing based on 2012 PHM data☆275Updated 4 years ago
- 基于图神经网络的机械故障诊断☆86Updated 10 months ago
- 基于注意力机制的少量样本故障诊断 pytorch☆207Updated last year
- Bearing fault diagnosis model based on MCNN-LSTM☆278Updated last year
- 1DCNN Fault Detection(1DCNN的轴承故障诊断)☆143Updated 2 years ago
- This repository is for the transfer learning or domain adaptive with fault diagnosis.☆240Updated 2 years ago
- Fault Diagnosis Employing Transfer Learning Techniques: Domain Adaptation and Domain Generalization☆374Updated 3 months ago
- This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning☆310Updated 2 years ago
- ☆64Updated 4 years ago
- ☆247Updated 7 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。☆40Updated last year
- ☆74Updated 2 years ago
- RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN☆109Updated 4 years ago
- The intelligent fault diagnosis methods of HNU IDG☆63Updated 2 years ago
- RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf☆94Updated last year
- This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.☆85Updated 2 years ago
- PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Pa…☆139Updated 3 years ago
- remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…☆141Updated 9 months 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 …☆108Updated 7 months ago
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆94Updated last month
- 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。☆93Updated 7 months ago
- The intelligent fault diagnosis of HNU IDG☆83Updated 2 years ago
- The source codes of Meta-learning for few-shot cross-domain fault diagnosis.☆139Updated 8 months ago
- ☆51Updated last year
- One model for RUL and fault prognostic prediction on XJTU bearing dataset☆91Updated 5 years ago