liguge / Large-language-model-for-Prognostics-and-health-management
用于预测性维护与健康管理的大型语言模型（故障诊断大模型；剩余使用寿命预测大模型）
☆16Updated this week
Alternatives and similar repositories for Large-language-model-for-Prognostics-and-health-management
Users that are interested in Large-language-model-for-Prognostics-and-health-management are comparing it to the libraries listed below
Sorting:
- We propose a novel semi-supervised learning framework for fault diagnosis in scenarios with limited labeled data, using a Multiscale and …☆11Updated 5 months ago
- This is a implemention of paper:Federated Temporal-Context Contrastive Learning for Fault Diagnosis using Multiple Datasets with Insuffic…☆14Updated last year
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis （故障诊断）☆31Updated last year
- ☆12Updated last year
- Fast Random Wavelet Kernel Convolution for Weak-Fault Diagnosis☆29Updated 3 months 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
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆21Updated last year
- Python code for TCTL method☆12Updated 10 months ago
- ☆21Updated 2 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
- Official implementation of methods from the paper SensorSCAN: Self-Supervised Learning and Deep Clustering for Fault Diagnosis in Chemica…☆24Updated last year
- Open dataset in the field of mechanical fault diagnosis under variable speed conditions, providing benchmark for algorithm performance ev…☆27Updated last year
- Variance discrepancy representation☆11Updated 11 months ago
- The code of our work “Mixed attention network for source-free domain adaptation in bearing fault diagnosis”.☆7Updated last year
- ☆11Updated 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)☆18Updated 9 months ago
- MSTDA☆11Updated 7 months ago
- ☆31Updated last year
- ☆11Updated last week
- ☆11Updated 11 months ago
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆42Updated 2 months ago
- ☆12Updated 3 months ago
- 基于深度学习的机械故障诊断☆33Updated last year
- Code for paper being submitted☆14Updated last month
- ☆20Updated 2 years ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆38Updated 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☆28Updated 3 years ago
- 一种轻量化故障诊断框架——LiConvFormer☆17Updated last year
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆34Updated 2 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆28Updated last year