devamsheth21 / Bearing-Fault-Detection-using-Deep-Learning-approach
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
- Code sharing of fault diagnosis papers.☆47Updated last year
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆37Updated 2 years ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆73Updated 11 months ago
- Open dataset in the field of mechanical fault diagnosis under variable speed conditions, providing benchmark for algorithm performance ev…☆26Updated last year
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis (故障诊断)☆28Updated 11 months ago
- ☆30Updated 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
- ☆12Updated 2 months ago
- Source codes for paper "A weighted multi-scale dictionary learning model and its applications on bearing fault diagnosis"☆42Updated 5 years ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆52Updated 3 years ago
- ☆21Updated 4 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 2 years 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☆36Updated last year
- WT-planetary-gearbox-datasets☆60Updated 11 months ago
- 一种用于复杂工况机械故障检测的GNN方法☆45Updated last year
- Condition Based Maintenance Fault Database for Testing of Diagnostic and Prognostics Algorithms☆16Updated 4 months ago
- ☆16Updated last year
- Random convolution layer: An auxiliary method to improve fault diagnosis performance☆29Updated 7 months ago
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆17Updated 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
- Multiclass bearing fault classification using features learned by a deep neural network.☆32Updated 3 years ago
- PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diag…☆27Updated last year
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆21Updated last year
- Implementation of the model-agnostic meta-learning framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnos…☆64Updated 2 months ago
- A benchmark fault diagnosis dataset comprises vibration data collected from a gearbox under variable working conditions with intentionall…☆43Updated last month
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆33Updated 2 years ago
- Variance discrepancy representation: A vibration characteristic-guided distribution alignment metric for fault transfer diagnosis☆20Updated 10 months ago
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆41Updated last month
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆28Updated 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)☆20Updated this week