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…
☆19Updated 2 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
- Open dataset in the field of mechanical fault diagnosis under variable speed conditions, providing benchmark for algorithm performance ev…☆23Updated last year
- Code sharing of fault diagnosis papers.☆47Updated last year
- MLFNet: Multi-level Fusion Network based on multi-source information for Mechanical Fault Diagnosis under Limited and Imbalanced Datasets☆16Updated 10 months ago
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆35Updated 6 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
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆54Updated 3 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☆33Updated last year
- ☆18Updated 2 years ago
- Random convolution layer: An auxiliary method to improve fault diagnosis performance☆27Updated 4 months ago
- ☆16Updated last year
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆64Updated 8 months ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆30Updated last year
- WT-planetary-gearbox-datasets☆56Updated 8 months ago
- ☆21Updated 2 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆25Updated last year
- 一种用于复杂工况机械故障检测的GNN方法☆43Updated last year
- Multiclass bearing fault classification using features learned by a deep neural network.☆32Updated 2 years ago
- Codes of paper "A Novel Framework Based on Adaptive Multi-Task Learning for Bearing Fault Diagnosis".☆22Updated last year
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆19Updated last year
- Class-imbalanced Multi-source Information Fusion Transformer-based Neural Networks for Mechanical Fault Diagnosis with Limited Data☆43Updated 9 months ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆48Updated 3 years ago
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆32Updated 2 years ago
- ☆29Updated last year
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆30Updated 2 years ago
- PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diag…☆27Updated last year
- ☆14Updated 3 years ago
- 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）☆17Updated 6 months ago
- Source codes for the paper "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis"☆42Updated 3 years ago
- Capsule network for fault diagnosis （胶囊网络用于故障诊断）☆30Updated last year
- Variance discrepancy representation: A vibration characteristic-guided distribution alignment metric for fault transfer diagnosis☆18Updated 7 months ago