junior209lsj / FaultDiagnosisOptimizerBenchmark
Benchmark code for optimizers of bearing fault diagnosis. This code provides moduled features of data download, preprocessing, training, and logging.
☆46Updated last year
Alternatives and similar repositories for FaultDiagnosisOptimizerBenchmark:
Users that are interested in FaultDiagnosisOptimizerBenchmark are comparing it to the libraries listed below
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆33Updated 2 years ago
- Transfer learning☆49Updated 3 years ago
- ☆24Updated 3 years ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆18Updated last year
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆52Updated last month
- Random convolution layer: An auxiliary method to improve fault diagnosis performance☆29Updated 7 months ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆41Updated last year
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆54Updated 8 months ago
- ☆21Updated 4 years ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆35Updated 2 years ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling (pytorch)☆37Updated 2 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆28Updated last year
- 基于深度学习的机械故障诊断☆31Updated last year
- A few shot learning repository for bearing fault diagnosis.☆80Updated last year
- 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)☆52Updated last year
- Fault detection and diagnosis for dynamic system based on GAN and independent subspace reconstruction☆9Updated last year
- ☆22Updated 2 years ago
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆21Updated last year
- ☆45Updated 2 years ago
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆36Updated 2 years ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆50Updated 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 …☆114Updated last month
- PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diag…☆27Updated last year
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆71Updated 10 months ago
- Condition Based Maintenance Fault Database for Testing of Diagnostic and Prognostics Algorithms☆16Updated 4 months ago
- 基于机器学习的机械故障诊断☆17Updated last year
- Implementation of the model-agnostic meta-learning framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnos…☆61Updated last month
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆56Updated 3 years ago
- This reposotory release a bearing failure dataset, which can support intelliegnt fault diagnosis research(实验室自采轴承开源数据集,包含稳定转速和时变转速)☆55Updated 2 months ago
- 一种新的基于动态图注意力网络和标签传播策略的半监督故障诊断方法☆34Updated last year