devamsheth21 / Bearing-Fault-Detection-using-Deep-Learning-approachLinks
Detection and multi-class classification of Bearing faults using Image classification from Case Western Reserve University data of bearing vibrations recorded at different frequencies. Developed an algorithm to convert vibrational data into Symmetrized Dot Pattern images based on a Research paper. Created an Image dataset of 50 different paramet…
☆20Updated 3 years ago
Alternatives and similar repositories for Bearing-Fault-Detection-using-Deep-Learning-approach
Users that are interested in Bearing-Fault-Detection-using-Deep-Learning-approach are comparing it to the libraries listed below
Sorting:
- Open dataset in the field of mechanical fault diagnosis under variable speed conditions, providing benchmark for algorithm performance ev…☆27Updated last year
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆57Updated 3 years ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆52Updated 3 years 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☆28Updated 3 years ago
- Code sharing of fault diagnosis papers.☆48Updated last year
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆75Updated last month
- 一种用于复杂工况机械故障检测的GNN方法☆46Updated last year
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆29Updated last year
- ☆16Updated last year
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆43Updated 3 months ago
- A benchmark fault diagnosis dataset comprises vibration data collected from a gearbox under variable working conditions with intentionall…☆48Updated 3 months ago
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆21Updated last year
- Random convolution layer: An auxiliary method to improve fault diagnosis performance☆30Updated 9 months ago
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis (故障诊断)☆31Updated last year
- A few shot learning repository for bearing fault diagnosis.☆88Updated last year
- Effective Fault Diagnosis Based on Wavelet and Convolutional Attention Neural Network for Induction Motors☆21Updated 2 years ago
- WT-planetary-gearbox-datasets☆63Updated last year
- ☆21Updated 4 years ago
- 一种新的用于噪声干扰下刀具的无监督异常检测方法☆20Updated last year
- This reposotory release a gearbox failure dataset, which can support intelliegnt fault diagnosis research(实验室自采齿轮箱开源数据集,包含稳定转速和时变转速)☆21Updated last month
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆35Updated 2 years ago
- Implementation of the model-agnostic meta-learning framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnos…☆69Updated 3 months ago
- ☆20Updated 2 years ago
- MLFNet: Multi-level Fusion Network based on multi-source information for Mechanical Fault Diagnosis under Limited and Imbalanced Datasets☆17Updated last year
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆58Updated 3 months ago
- Fast Random Wavelet Kernel Convolution for Weak-Fault Diagnosis☆29Updated 3 months ago
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆39Updated 2 years ago
- ☆23Updated 2 years ago
- ☆25Updated 2 years ago
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆18Updated 4 years ago