liguge / Large-language-model-for-Prognostics-and-health-managementLinks
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）
☆43Updated 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:
- ☆32Updated 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☆36Updated 2 years ago
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis （故障诊断）☆33Updated last year
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆39Updated 2 years ago
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆21Updated last year
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆43Updated 4 months ago
- PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diag…☆27Updated last year
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆18Updated last year
- Compound Fault Diagnosis Dataset of Rotating Machinery☆35Updated 9 months ago
- ☆33Updated 2 years ago
- 基于深度学习的机械故障诊断☆35Updated last year
- Fast Random Wavelet Kernel Convolution for Weak-Fault Diagnosis☆29Updated 4 months ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆39Updated 2 years ago
- This reposotory release a bearing failure dataset, which can support intelliegnt fault diagnosis research（实验室自采轴承开源数据集，包含稳定转速和时变转速）☆66Updated last month
- TL-UESTC / Privacy-Preserving-Adaptive-Remaining-Useful-Life-Prediction-via-Source-Free-Domain-AdaptionThe implementation of Privacy-Preserving Adaptive Remaining Useful Life Prediction via Source-Free Domain Adaption in PyTorch.☆23Updated 3 months ago
- 一种用于复杂工况机械故障检测的GNN方法☆46Updated last year
- This is a implemention of paper:Federated Temporal-Context Contrastive Learning for Fault Diagnosis using Multiple Datasets with Insuffic…☆15Updated last year
- Zero-shot fault diagnosis on the Tennessee–Eastman process by attribute fusion transfer. Paper: Attribute fusion transfer for zero-shot f…☆29Updated last year
- Deep learning models (RNN & LSTM & WaveNet) for predicting the remaining useful life of rolling element bearings using time series health…☆14Updated 3 months ago
- AAAI 2025: BearLLM: A Prior Knowledge-Enhanced Bearing Health Management Framework with Unified Vibration Signal Representation☆62Updated 2 months ago
- ☆45Updated 2 months ago
- This repository contains the implementation of the model for bearing fault diagnosis，also includes five comparison models for performance…☆14Updated 3 months ago
- Official implementation of methods from the paper SensorSCAN: Self-Supervised Learning and Deep Clustering for Fault Diagnosis in Chemica…☆24Updated last year
- 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
- ☆20Updated 2 years ago
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆61Updated 10 months ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆53Updated 3 years ago
- ☆23Updated 2 years ago
- Transfer learning☆51Updated 3 years ago
- ☆22Updated 2 years ago