CHAOZHAO-1 / LLM-based-PHMLinks
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)
☆114Updated last week
Alternatives and similar repositories for LLM-based-PHM
Users that are interested in LLM-based-PHM are comparing it to the libraries listed below
Sorting:
- Awsome-Multi-modal-based PHM (基于多模态的故障诊断和预测)☆85Updated 3 months ago
- AAAI 2025: BearLLM: A Prior Knowledge-Enhanced Bearing Health Management Framework with Unified Vibration Signal Representation☆71Updated 6 months ago
- 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)☆70Updated last month
- 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。☆204Updated last year
- ☆36Updated 3 months 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)☆79Updated 4 months ago
- An open-source mechanical failure dataset is available, comprising 30+ categories including bearings, gears, pumps, and others.(30余个开源故障…☆55Updated 3 months ago
- 一种轻量化故障诊断框架——LiConvFormer☆115Updated 9 months ago
- A modular framework for deep learning research in Prognostics and Health Management (PHM), enabling streamlined execution of key tasks su…☆37Updated last month
- This is a benckmark for domain generalization-based fault diagnosis (基于领域泛化的相关代码)☆105Updated 10 months 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)☆24Updated last week
- 一种数字孪生辅助的高度不平衡故障诊断新框架☆98Updated last year
- Semi-Supervised Density Peak Clustering Algorithm, Incremental Learning, Fault Detection(基于半监督密度聚类+增量学习的故障诊断)☆84Updated 3 years ago
- Zero-shot fault diagnosis on the Tennessee–Eastman process by attribute fusion transfer. Paper: Attribute fusion transfer for zero-shot f…☆32Updated 2 years ago
- A benchmark fault diagnosis dataset comprises vibration data collected from a gearbox under variable working conditions with intentionall…☆58Updated 7 months ago
- ☆33Updated 2 years ago
- Multi-scale Quaternion CNN and BiGRU with Cross Self-attention Feature Fusion for Fault Diagnosis of Bearing☆45Updated last year
- ☆85Updated 3 years ago
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis (故障诊断)☆38Updated last year
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆64Updated last year
- Official repository for the paper "Few‐shot multiscene fault diagnosis of rolling bearing under compound variable working conditions"☆15Updated last month
- Compound Fault Diagnosis Dataset of Rotating Machinery☆35Updated last year
- This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.☆94Updated 3 years ago
- Code sharing of fault diagnosis papers.☆51Updated last year
- This is a dataset of inter-shaft bearing based on the vibration signal of rotors and casings, which comes from a aero-engine test with in…☆89Updated last year
- [IEEE TIM] This is official code for paper "Few-Shot Bearing Fault Diagnosis via Ensembling Transformer-based Model with Mahalanobis Dist…☆119Updated 8 months ago
- This reposotory release a gearbox failure dataset, which can support intelliegnt fault diagnosis research(实验室自采齿轮箱开源数据集,包含稳定转速和时变转速)☆25Updated 5 months ago
- Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions☆33Updated 7 months ago
- Using transformer to realize Bearing Fault Diagnosis☆66Updated 2 years ago
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆21Updated 2 years ago