biswajitsahoo1111 / data_driven_features_ims
Multiclass bearing fault classification using features learned by a deep neural network.
☆31Updated 2 years ago
Alternatives and similar repositories for data_driven_features_ims:
Users that are interested in data_driven_features_ims are comparing it to the libraries listed below
- ☆23Updated 2 years ago
- Code and data for our paper on IEEE-TIE: Integrating Expert Knowledge with Domain Adaptation for Unsupervised Fault Diagnosis☆38Updated 2 years ago
- Open dataset in the field of mechanical fault diagnosis under variable speed conditions, providing benchmark for algorithm performance ev…☆23Updated last year
- A transfer learning model CoDats applied to fault diagnosis problem☆15Updated 3 years ago
- ☆20Updated 2 years ago
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆17Updated 4 years ago
- Detection and multi-class classification of Bearing faults using Image classification from Case Western Reserve University data of bearin…☆19Updated 3 years ago
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆33Updated last year
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis （故障诊断）☆24Updated 9 months ago
- A fast fault diagnosis method for rolling bearings, based on extreme learning machine (ELM) and logistic mapping.☆20Updated 3 years ago
- This is an implementation of single source multiple target domain adaptation for fault diagnosis☆44Updated 3 years ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆65Updated 9 months ago
- 论文“时变转速下基于改进图注意力网络的轴承半监督故障诊断”源码☆26Updated 2 years ago
- Benchmark code for optimizers of bearing fault diagnosis. This code provides moduled features of data download, preprocessing, training, …☆46Updated last year
- ☆18Updated 2 years ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆31Updated last year
- ☆23Updated 2 years ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆55Updated 3 years ago
- ☆29Updated last year
- ☆61Updated 4 years ago
- Random convolution layer: An auxiliary method to improve fault diagnosis performance☆28Updated 5 months ago
- This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.☆84Updated 2 years ago
- Implementation of the model-agnostic meta-learning framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnos…☆54Updated last month
- 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☆33Updated last year
- Class-imbalanced Multi-source Information Fusion Transformer-based Neural Networks for Mechanical Fault Diagnosis with Limited Data☆43Updated 10 months ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆26Updated last year
- This is an open source lib called "DGFDBenchmark" for domain-generalization-based fault diagnosis☆70Updated last year
- Benchmarking fault detection and diagnosis methods☆15Updated 2 weeks ago
- A benchmark fault diagnosis dataset comprises vibration data collected from a gearbox under variable working conditions with intentionall…☆37Updated 3 months ago
- Condition Based Maintenance Fault Database for Testing of Diagnostic and Prognostics Algorithms☆16Updated 2 months ago