junior209lsj / FaultDiagnosisOptimizerBenchmarkLinks
Benchmark code for optimizers of bearing fault diagnosis. This code provides moduled features of data download, preprocessing, training, and logging.
☆46Updated 2 years ago
Alternatives and similar repositories for FaultDiagnosisOptimizerBenchmark
Users that are interested in FaultDiagnosisOptimizerBenchmark are comparing it to the libraries listed below
Sorting:
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆56Updated 4 years ago
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆66Updated last year
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆36Updated 2 years ago
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆41Updated 2 years ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆39Updated 2 years ago
- ☆46Updated 3 years ago
- Condition Based Maintenance Fault Database for Testing of Diagnostic and Prognostics Algorithms☆18Updated 11 months ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆44Updated 2 years ago
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆62Updated 8 months ago
- ☆23Updated 2 years ago
- Transfer learning☆60Updated 4 years ago
- ☆27Updated 2 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)☆64Updated 5 months ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆45Updated 3 years ago
- PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diag…☆30Updated 2 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆32Updated 2 years ago
- 基于深度学习的机械故障诊断☆36Updated last year
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆19Updated 5 years ago
- This is an implementation of single source multiple target domain adaptation for fault diagnosis☆48Updated 3 years ago
- ☆106Updated 2 years ago
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆46Updated 8 months ago
- A few shot learning repository for bearing fault diagnosis.☆101Updated 2 years ago
- 一种数字孪生辅助的高度不平衡故障诊断新框架☆102Updated last year
- ☆28Updated 4 years ago
- ☆64Updated 4 years ago
- ☆24Updated 2 years ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆62Updated 3 years ago
- WT-planetary-gearbox-datasets☆81Updated last month
- case study for remaining useful life estimation☆34Updated last year
- ☆13Updated 3 years ago