liguge / Awesome-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)
☆83Updated 2 weeks ago
Alternatives and similar repositories for Awesome-large-language-model-for-Prognostics-and-health-management
Users that are interested in Awesome-large-language-model-for-Prognostics-and-health-management are comparing it to the libraries listed below
Sorting:
- AAAI 2025: BearLLM: A Prior Knowledge-Enhanced Bearing Health Management Framework with Unified Vibration Signal Representation☆81Updated 7 months ago
- 分享的所有数据集均为开源的PHM(Prognostics and Health Management)数据,涵盖故障诊断、健康评估和寿命预测等领域。☆216Updated last year
- Awsome-Multi-modal-based PHM (基于多模态的故障诊断和预测)☆90Updated 4 months ago
- This is a reposotory that includes paper about LLM-based fault diagnosis and prognosis. (基于大模型的故障诊断和预测,持续更新)☆128Updated 2 weeks ago
- 基于深度学习的机械故障诊断☆36Updated last year
- 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)☆88Updated 5 months ago
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆66Updated last year
- ☆33Updated 2 years ago
- A Unified Framework for Prognostics and Health Management (PHM) Tasks, enabling streamlined execution of key tasks such as Remaining Usef…☆41Updated 2 weeks ago
- A benchmark fault diagnosis dataset comprises vibration data collected from a gearbox under variable working conditions with intentionall…☆63Updated last month
- We have developed an innovative deep learning model, PSECNet, for the prediction of bearing Remaining Useful Life (RUL) on the IEEE 2012 …☆31Updated last year
- 一种数字孪生辅助的高度不平衡故障诊断新框架☆102Updated last year
- A collection of unsupervised domain adaption algorithms for RUL estimation.☆38Updated last year
- ☆41Updated 5 months ago
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆21Updated 2 years ago
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis (故障诊断)☆40Updated last year
- 基于图神经网络的机械故障诊断☆103Updated last year
- ☆34Updated 3 years ago
- Deep learning models (RNN & LSTM & WaveNet) for predicting the remaining useful life of rolling element bearings using time series health…☆22Updated 8 months ago
- Zero-shot fault diagnosis on the Tennessee–Eastman process by attribute fusion transfer. Paper: Attribute fusion transfer for zero-shot f…☆34Updated 2 years ago
- WT-planetary-gearbox-datasets☆81Updated last month
- 一种轻量化故障诊 断框架——LiConvFormer☆122Updated 10 months ago
- 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.☆25Updated 8 months ago
- ☆64Updated 4 years ago
- A few shot learning repository for bearing fault diagnosis.☆101Updated 2 years ago
- This is a github repository for Adversarial transfer learning with constrastive coding for time series regression problem.☆48Updated 3 years ago
- Official implementation of methods from the paper SensorSCAN: Self-Supervised Learning and Deep Clustering for Fault Diagnosis in Chemica…☆28Updated 2 years ago
- Estimating Remaining Useful Life of a Turbofan Jet Engine using NCMAPSS dataset☆38Updated 2 years ago
- 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)☆30Updated last month
- PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diag…☆30Updated 2 years ago