Unsupervised domain-adaptive Transformer for remaining useful life prediction of proton exchange membrane fuel cells under dynamic ripple-current ageing 核心 · 已核验
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This dataset contains the processed data and reproducibility files used for a steady-to-dynamic transfer study of proton exchange membrane fuel cell remaining useful life prediction. The processed records are derived from the public FC1/FC2 ageing data in the IEEE 2014 Data Challenge archive. FC1 is used as the labelled steady-state source trajectory, and FC2 is used as the dynamic ripple-current target trajectory. The upload includes the processed FC1 table (1155 rows), the processed FC2 table (1021 rows), window metadata (348 windows), the window tensor file (X shape (348, 48, 30)), model-comparison metrics, ablation metrics, source-dataset metadata, and the experiment script.
The files are intended to support reproducibility of the associated Energy Reports manuscript. The raw FC1/FC2 data should be cited through the original Loughborough University dataset DOI, https://doi.org/10.17028/rd.lboro.3518141.v1. The present upload provides the processed tables, windowed arrays, metrics, and code used in the manuscript workflow.
本卡描述如含来自官方页的原文片段,其版权归原作者,不在本站 CC-BY 4.0 许可范围(见关于与许可)。
- 落地页
- https://doi.org/10.17632/d6ftbf8pyj
- 许可证
- CC-BY-4.0 (置信:verified_official)
- 发布年份
- 2026
- 发布方
- Mendeley Data
分发点
| other | https://doi.org/10.17632/d6ftbf8pyj |
溯源(12 条)
| 来源链接: https://doi.org/10.17632/d6ftbf8pyj 日期: 2026-07-21 |
| 来源链接: https://api.datacite.org/dois/10.17632/d6ftbf8pyj 日期: 2026-07-30 |
| 来源链接: https://api.datacite.org/dois/10.17632/d6ftbf8pyj 日期: 2026-07-30 |
| 日期: 2026-07-30 |
| 日期: 2026-07-31 |
| 日期: 2026-07-31 |
| 引文: 「Install the Python packages listed in requirements.txt. The raw FC1/FC2 ageing records should be obtained from the original Loughborough University dataset at https://doi.org/10.17028/rd.lboro.3518141.v1. The processed FC1 and FC2 tables, window metadata, window tensor file, model metrics, and ablation metrics are included in this upload. To regenerate the processed files and reported metrics, place the original IEEE 2014 Data Challenge archive in the data location expected by code/fclab2022_uda_experiment.py and run that script in a Python environment with the listed dependencies.」 来源链接: https://data.mendeley.com/public-api/datasets/d6ftbf8pyj 日期: 2026-09-02 |
| 来源链接: https://data.mendeley.com/public-api/datasets/d6ftbf8pyj 日期: 2026-09-02 |
| 日期: 2026-09-02 |
| 日期: 2026-09-02 |
| 来源链接: https://data.mendeley.com/public-api/datasets/d6ftbf8pyj 日期: 2026-09-02 |
| 日期: 2026-09-02 |