biswajitsahoo1111 / data_driven_features_imsLinks
Multiclass bearing fault classification using features learned by a deep neural network.
☆34Updated 3 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
Sorting:
- ☆23Updated 2 years ago
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆34Updated 2 years ago
- The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆26Updated 5 years ago
- Detection and multi-class classification of Bearing faults using Image classification from Case Western Reserve University data of bearin…☆21Updated 3 years ago
- Implementation of the model-agnostic meta-learning framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnos…☆69Updated 4 months ago
- A few shot learning repository for bearing fault diagnosis.☆91Updated last year
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆39Updated 2 years ago
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆19Updated 4 years ago
- Code and data for our paper on IEEE-TIE: Integrating Expert Knowledge with Domain Adaptation for Unsupervised Fault Diagnosis☆40Updated 2 years ago
- A fast fault diagnosis method for rolling bearings, based on extreme learning machine (ELM) and logistic mapping.☆21Updated 3 years ago
- ☆65Updated 4 years ago
- Official repository for the paper "Few‐shot multiscene fault diagnosis of rolling bearing under compound variable working conditions"☆14Updated last year
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis （故障诊断）☆33Updated last year
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆21Updated last year
- Python codes “Jupyter notebooks” for the paper entitled "A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings…☆81Updated last year
- Open dataset in the field of mechanical fault diagnosis under variable speed conditions, providing benchmark for algorithm performance ev…☆27Updated last year
- The code of Interpretable Convolutional Neural Network with Multilayer Wavelet for Noise-Robust Machinery Fault Diagnosis☆43Updated 2 years ago
- This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.☆90Updated 3 years ago
- Random convolution layer: An auxiliary method to improve fault diagnosis performance☆30Updated 10 months ago
- A transfer learning model CoDats applied to fault diagnosis problem☆15Updated 4 years ago
- Transfer learning☆51Updated 3 years ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆57Updated 3 years ago
- 机器学习背景下旋转机械振动信号故障诊断是否需要信号预处理——使用CWRU数据的一次尝试 Whether signal preprocessing is needed for fault diagnosis of rotating machinery vibration s…☆19Updated last year
- Benchmark code for optimizers of bearing fault diagnosis. This code provides moduled features of data download, preprocessing, training, …☆46Updated last year
- This is an implementation of single source multiple target domain adaptation for fault diagnosis☆46Updated 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☆36Updated 2 years ago
- wdcnn model for bearing fault diagnosis☆33Updated 5 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆29Updated last year
- Multi-sensor data collection gathered to expand research on anomaly detection, fault diagnosis, and predictive maintenance, mainly using …☆34Updated last year
- ☆21Updated 4 years ago