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)
☆69Updated last 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:
- AAAI 2025: BearLLM: A Prior Knowledge-Enhanced Bearing Health Management Framework with Unified Vibration Signal Representation☆70Updated 5 months ago
- 基于深度学习的机械故障诊断☆35Updated last year
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis (故障诊断)☆36Updated last year
- ☆33Updated 2 years ago
- 基于图神经网络的机械故障诊断☆101Updated last year
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆21Updated 2 years ago
- A benchmark fault diagnosis dataset comprises vibration data collected from a gearbox under variable working conditions with intentionall…☆55Updated 6 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)☆108Updated last week
- Awsome-Multi-modal-based PHM (基于多模态的故障诊断和预测)☆81Updated 2 months ago
- ☆34Updated 3 months ago
- PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diag…☆27Updated last year
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆64Updated last year
- Variational encoding based on factorized temporal-channel fusion and feature fusion for interpretable remaining useful life prediction☆26Updated last year
- WT-planetary-gearbox-datasets☆70Updated last year
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆83Updated 4 months ago
- 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
- ☆108Updated 2 years ago
- Zero-shot fault diagnosis on the Tennessee–Eastman process by attribute fusion transfer. Paper: Attribute fusion transfer for zero-shot f…☆31Updated last year
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆36Updated 2 years ago
- Deep learning models (RNN & LSTM & WaveNet) for predicting the remaining useful life of rolling element bearings using time series health…☆19Updated 6 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)☆75Updated 3 months ago
- SQ dataset for fault diagnosis pulished by Xi'an jiaotong University☆15Updated 2 years ago
- ☆33Updated 3 years ago
- ☆45Updated 5 months ago
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆58Updated 2 years ago
- This is a github repository for Adversarial transfer learning with constrastive coding for time series regression problem.☆48Updated 3 years 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 6 months ago
- 一种数字孪生辅助的高度不平衡故障诊断新框架☆96Updated last year
- 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。☆190Updated 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)☆22Updated last year