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…
☆22Updated 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:
- Code sharing of fault diagnosis papers.☆51Updated last year
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆56Updated 4 years ago
- Open dataset in the field of mechanical fault diagnosis under variable speed conditions, providing benchmark for algorithm performance ev…☆33Updated last month
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆92Updated 7 months ago
- A few shot learning repository for bearing fault diagnosis.☆102Updated 2 years ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆62Updated 4 years ago
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis (故障诊断)☆40Updated last year
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆39Updated 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☆37Updated 2 years ago
- Random convolution layer: An auxiliary method to improve fault diagnosis performance☆30Updated last year
- this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Faul…☆143Updated 8 months ago
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆67Updated 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)☆65Updated 5 months ago
- Implementation of the model-agnostic meta-learning framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnos…☆87Updated 9 months ago
- 基于深度学习的机械故障诊断☆37Updated last year
- Implementation of categorical generative adversarial networks for unsupervised bearing fault diagnostics☆59Updated 3 years ago
- Transfer learning☆60Updated 4 years ago
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆38Updated 3 years ago
- This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.☆94Updated 3 years ago
- ☆33Updated 2 years ago
- WT-planetary-gearbox-datasets☆81Updated last month
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆32Updated 2 years ago
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆21Updated 2 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☆29Updated 3 years ago
- ☆112Updated 3 years ago
- Capsule network for fault diagnosis (胶囊网络用于故障诊断)☆33Updated 2 years ago
- ☆46Updated 3 years ago
- 一种用于复杂工况机械故障检测的GNN方法☆51Updated 2 years ago
- ☆21Updated 3 years ago
- Code for our paper "Domain adaptive transfer learning for fault diagnosis." 2019 Prognostics and System Health Management Conference (PHM…☆22Updated 3 years ago