IEEE PHM Data Challenge 2014 核心 · 已核验
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This data set is divided in two parts in the framework of the IEEE PHM Data Challenge 2014. The first part is a 1kW proton exchange membrane fuel cell on which long-term tests (1,000 hours) have been carried out under quasi-stationary conditions. The second part also deals with a fresh 1kW proton exchange membrane fuel cell. On this second fuel cell, long-term tests (1,000 hours) with current ripples were performed.
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://search-data.ubfc.fr/FR-18008901306731-2021-07-19_IEEE-PHM-Data-Challenge-2014.html
- 许可证
- CC-BY-NC-SA (置信:verified_official)
- 国内可访问性
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国内直连:可达 (2026-07-11 检测)
非直连:可达 (2026-07-11 检测)
「直连超时」表示检测窗口内未完成,系慢或不稳定证据,不构成封锁证据。 - 设备类型
fuel_cell
关联论文(37 篇)
仅表示这篇论文与本数据集在文献网络中相邻, 不代表该论文确实使用了本数据集。
- Impact of current ripples on the durability of proton exchange membrane fuel cells based on two ageing datasets 2022 · 首发该数据集
- A hybrid degradation prediction method for PEMFC integrating model-based degradation index extraction and Bayesian-optimized Bi-directional long short-term memory 2026 · 用于方法验证
- A novel health indicator for PEMFCs based on VAE-LSTM-attention and mahalanobis distance with long-term remaining useful life prediction 2026 · 用于方法验证
- Interpretable degradation forecasting of fuel cells under steady, quasi-dynamic and dynamic conditions: An ALA optimized TimesNet model based on ICEEMDAN decomposition 2026 · 用于方法验证
- A Review on Data‐Driven‐Based Remaining Useful Life Prediction Methods for Proton Exchange Membrane Fuel Cells 2026 · 候选引用(未核验)
- An interpretable fuel cell interval prediction method that dynamically identifies key features without manual selection 2026 · 候选引用(未核验)
- High-accuracy degradation prediction for fuel cells: An approach balancing stability and robustness 2026 · 候选引用(未核验)
- Real-time degradation prognostics for proton exchange membrane fuel cells using a self-adaptive grey neural network model 2026 · 候选引用(未核验)
- Stresses in the proton exchange membrane: from failure mechanisms to mitigation strategies and manufacturing methods 2026 · 候选引用(未核验)
- Aging of PEM electrolyzers: influence of fluctuating current supply 2026 · 候选引用(未核验)
- Research on Performance Degradation Prediction of PEMFC Based on Improved Koa-Transformer-LSTM 2025 · 用于方法验证
- Remaining Useful Life Prediction of PEMFC Based on 2-Layer Bidirectional LSTM Network 2025 · 用于方法验证
- Estimation of PEMFC equivalent circuit model parameters via a Luenberger observer approach 2025 · 候选引用(未核验)
- A novel multivariable prognostic approach for PEMFC degradation and remaining useful life prediction using random forest and temporal convolutional network 2025 · 候选引用(未核验)
- A novel fractional-order heuristic grey model for robust prognostics of PEMFC degradation under static and dynamic operating regimes 2025 · 候选引用(未核验)
- Performance degradation prediction of proton exchange membrane fuel cells based on CNN-LSTM network with squeeze-and-excitation attention mechanism 2025 · 候选引用(未核验)
- Enhancing Fuel-Cell Longevity via Multi-Objective Dynamic Programming 2025 · 候选引用(未核验)
- A Stacked Ensemble Learning Approach for Short-Term Fuel Cell Degradation Prediction 2025 · 候选引用(未核验)
- ConvTimeNet: Hierarchical Fully Convolutional Model for Proton Exchange Membrane Fuel Cells Degradation Prediction 2025 · 候选引用(未核验)
- PCA Based Hammerstein Model for Fuel Cell Degradation Prediction by the Hierarchical Estimation Technique 2025 · 候选引用(未核验)
仅列前 20 篇(首发/综述优先,按年份倒序);全量见 API。
溯源(6 条)
| 来源链接: https://search-data.ubfc.fr/FR-18008901306731-2021-07-19_IEEE-PHM-Data-Challenge-2014.html 日期: 2026-07-09 |
| 日期: 2026-07-10 |
| 日期: 2026-07-10 |
| 日期: 2026-07-11 |
| 日期: 2026-07-11 |
| 日期: 2026-07-25 |