SIA-IDE / BearLLMLinks
AAAI 2025: BearLLM: A Prior Knowledge-Enhanced Bearing Health Management Framework with Unified Vibration Signal Representation
☆56Updated last month
Alternatives and similar repositories for BearLLM
Users that are interested in BearLLM 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）☆67Updated last month
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆58Updated 10 months ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆78Updated last month
- A few shot learning repository for bearing fault diagnosis.☆88Updated last year
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆58Updated 3 months ago
- This is an open source lib called "DGFDBenchmark" for domain-generalization-based fault diagnosis☆80Updated last month
- ☆32Updated last year
- ☆44Updated 2 months ago
- Leveraging multiple deep learning models for fault diagnosis☆29Updated last month
- ☆34Updated 3 years ago
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆43Updated 3 months ago
- ☆95Updated 9 months ago
- Code sharing of fault diagnosis papers.☆49Updated 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
- We have developed an innovative deep learning model, PSECNet, for the prediction of bearing Remaining Useful Life (RUL) on the IEEE 2012 …☆27Updated 10 months ago
- Variance discrepancy representation: A vibration characteristic-guided distribution alignment metric for fault transfer diagnosis☆21Updated last year
- Official repository for the paper "Few‐shot multiscene fault diagnosis of rolling bearing under compound variable working conditions"☆14Updated last year
- This is a benckmark for domain generalization-based fault diagnosis （基于领域泛化的相关代码）☆90Updated 5 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）☆65Updated 2 weeks ago
- Bearing Fault Diagnosis By CNN、LSTM+CNN、GRU+CNN、SelfAttention+CNN☆28Updated 6 months ago
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆21Updated last year
- A benchmark fault diagnosis dataset comprises vibration data collected from a gearbox under variable working conditions with intentionall…☆48Updated 3 months ago
- Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer☆67Updated last year
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆101Updated 5 months ago
- WT-planetary-gearbox-datasets☆63Updated last year
- ☆59Updated last year
- Deep learning models (RNN & LSTM & WaveNet) for predicting the remaining useful life of rolling element bearings using time series health…☆12Updated 3 months ago
- Transfer learning☆50Updated 3 years ago
- 一种轻量化故障诊断框架——LiConvFormer☆103Updated 5 months ago
- 基于深度学习的机械故障诊断☆34Updated last year