KarlRaphel / bearing-dataset-collectionLinks
轴承故障数据集
☆18Updated last year
Alternatives and similar repositories for bearing-dataset-collection
Users that are interested in bearing-dataset-collection are comparing it to the libraries listed below
Sorting:
- Benmarking for GNN-based RUL prediction☆42Updated last year
- This repository is the implementation for the paper Supervised Contrastive Learning based Dual-Mixer Model for Remaining Useful Life Pred…☆23Updated last year
- This repository has open-sourced a dataset of motor failure, including vibration signals and audio signals.(实验室自采多模态电机故障数据,振动信号+声音信号)☆34Updated 2 months ago
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆38Updated 3 years ago
- AAAI 2025: BearLLM: A Prior Knowledge-Enhanced Bearing Health Management Framework with Unified Vibration Signal Representation☆85Updated 8 months ago
- Bayesian Neural Networks to predict RUL on N-CMAPSS☆21Updated 3 years ago
- ☆23Updated 2 years ago
- Open dataset in the field of mechanical fault diagnosis under variable speed conditions, providing benchmark for algorithm performance ev…☆33Updated last month
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis (故障诊断 )☆40Updated last year
- 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
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆33Updated 2 years ago
- Fast Random Wavelet Kernel Convolution for Weak-Fault Diagnosis☆33Updated 10 months ago
- xLSTM: Extended Long Short-Term Memory for Intelligent Fault Diagnosis of Rolling Bearings☆35Updated last year
- CEEMDAN-VMD-TCN-GRU&RF model☆15Updated last year
- ☆22Updated last year
- 基于深度学习的机械故障诊断☆37Updated last year
- Variance discrepancy representation: A vibration characteristic-guided distribution alignment metric for fault transfer diagnosis☆23Updated last year
- Official repository for the paper "Few‐shot multiscene fault diagnosis of rolling bearing under compound variable working conditions"☆18Updated 2 months ago
- ☆33Updated 2 years ago
- Python code for TCTL method☆13Updated last year
- ☆14Updated 10 months ago
- A benchmark fault diagnosis dataset comprises vibration data collected from a gearbox under variable working conditions with intentionall…☆70Updated 3 weeks ago
- Bayesian deep learning for remaining useful life estimation via Stein variational gradient descent☆29Updated last year
- 一种新的用于噪声干扰下刀具的无监督异常检测方法☆22Updated 2 years ago
- Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions☆35Updated 2 weeks ago
- Code for paper being submitted☆14Updated 5 months ago
- Bandit Optimization Aglorithms and Envelope Analysis based Methods for Machinery Fault Diagnosis☆14Updated 11 months ago
- Sensor Fault Diagnosis with Physics Informed Transfer Learning☆13Updated 3 years ago
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆24Updated 2 years ago
- A novel approach for Remaining Useful Life (RUL) prediction, combining meta-learning, knowledge discovery, and Physics-Informed Neural Ne…☆16Updated 7 months ago