WangBiaoXJTU / xjtu-sy-bearing-datasetsLinks
☆38Updated 5 years ago
Alternatives and similar repositories for xjtu-sy-bearing-datasets
Users that are interested in xjtu-sy-bearing-datasets are comparing it to the libraries listed below
Sorting:
- ☆64Updated 4 years ago
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆59Updated 2 years ago
- Awsome-Multi-modal-based PHM （基于多模态的故障诊断和预测）☆85Updated 3 months ago
- Benchmark code for optimizers of bearing fault diagnosis. This code provides moduled features of data download, preprocessing, training, …☆46Updated 2 years ago
- Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions☆33Updated 7 months ago
- ☆101Updated last year
- ☆68Updated 4 years ago
- Remain useful life prediction of rolling bearing.☆58Updated 4 years ago
- 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
- The code of DAST☆61Updated 2 years ago
- Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer☆71Updated 2 years ago
- Code sharing of fault diagnosis papers.☆51Updated last year
- Evolutionary Neural Architecture Search on Transformers for RUL Prediction☆47Updated 2 years ago
- ☆33Updated 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
- case study for remaining useful life estimation☆34Updated last year
- A collection of datasets for RUL estimation as Lightning Data Modules.☆48Updated last year
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆64Updated last year
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis （故障诊断）☆38Updated last year
- Source code of the paper "A stacked DCNN to predict the RUL of a turbofan engine", third place ranked in the PHM21 data challenge.☆83Updated 2 years ago
- WT-planetary-gearbox-datasets☆77Updated this week
- Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).☆158Updated 2 years ago
- A few shot learning repository for bearing fault diagnosis.☆100Updated 2 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 7 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
- 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
- A collection of unsupervised domain adaption algorithms for RUL estimation.☆37Updated last year
- AAAI 2025: BearLLM: A Prior Knowledge-Enhanced Bearing Health Management Framework with Unified Vibration Signal Representation☆71Updated 6 months ago
- The implementation of Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction in PyTorch.☆37Updated 2 years ago