Compression Compression fatigue tests on single stiffener aerospace structures 核心 · 已核验
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This dataset contains health monitoring data collected during compression compression fatigue tests of single stiffener (Level 1) aerospace composite panels. The coupons were initially damaged either by a low velocity impact or by an artificial disbond, located between the stiffener and the skin (a pdf file highlights the locations). Five coupons were tested until failure and five folder contains Acoustic Emission, Lamb waves and optical fibres (Distributed sensing and FBGs) data. This dataset is the first series of the 4 testing campaigns.
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/10.34894/QNURER
- 许可证
- CC-BY-SA-4.0 (置信:verified_official)
- 国内可访问性
-
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。 - 发布年份
- 2025
- 设备类型
composite_structure- PHM 任务
health_state_assessment
故障工况
| fault_type: delamination |
传感器
| sensor_type: acoustic_emission_sensor |
| sensor_type: fiber_bragg_grating_sensor |
运行工况
| condition_type: load |
关联论文(54 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。
- Fusion-based damage diagnostics for stiffened composite panels 首发该数据集
- Fatigue damage quantification in CFRP pantograph frames via embedded fiber optic network 2026 · 候选引用(未核验)
- A Knowledge-Guided Feature Fusion Optimization Method for Performance Degradation Assessment of Composite Structures 2026 · 候选引用(未核验)
- 1D-convolutional neural network for detection of disbonding in a stiffened aluminum panel using Lamb wave responses 2026 · 候选引用(未核验)
- Segmented rotor blades: advancing damage detection in wind turbine bolted joints via low-/high-frequency sensing and data fusion 2026 · 候选引用(未核验)
- A temperature-informed monitoring data fusion method for system-level evaluation of bridge conditions 2026 · 候选引用(未核验)
- FKG-MM: A multi-modal fuzzy knowledge graph with data integration in healthcare 2026 · 候选引用(未核验)
- Multi-Level testing and numerical validation of CF-LMPAEK thermoplastic composites for aerospace structural applications 2025 · 候选引用(未核验)
- Multidimensional dominant mapping eigenvalues fusion-driven method for structural damage identification and crack tip energy characterization 2025 · 候选引用(未核验)
- A conditional diffusion model-based data augmentation method for structural health monitoring of composites 2025 · 候选引用(未核验)
- Application of Acoustic Emission and Baseline‐Based Approach for Early Fatigue‐Damage Detection 2025 · 候选引用(未核验)
- A transformer model for detection of stiffener disbonding in stiffened aluminium panel using Lamb wave 2025 · 候选引用(未核验)
- Active sensing-based prognostics for impacted CFRP structures under compressive fatigue loading 2025 · 候选引用(未核验)
- Patterns of Acoustic Emission Changes with Alterations in the Damage Area of a Composite Material According to the Mises Criterion 2025 · 候选引用(未核验)
- A novel machine learning model to design historical-independent health indicators for composite structures 2024 · 用于方法验证
- A novel intelligent health indicator using acoustic waves: CEEMDAN-driven semi-supervised ensemble deep learning 2024 · 用于方法验证
- Failure analysis in advance cylindrical composite pressure vessel under pressure & temperature for hydrogen storage: A comprehensive review 2024 · 候选引用(未核验)
- Rotating machine bearing health prognosis using a data driven approach based on KS‐density and BiLSTM 2024 · 候选引用(未核验)
- Multi-sensor adaptive fusion and convolutional neural network-based acoustic emission diagnosis for initial damage of the engine 2024 · 候选引用(未核验)
- Data level fusion of acoustic emission sensors using deep learning 2024 · 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(12 条)
| 来源链接: https://doi.org/10.34894/QNURER 日期: 2026-07-09 |
| 日期: 2026-07-10 |
| 日期: 2026-07-10 |
| 日期: 2026-07-10 |
| 日期: 2026-07-10 |
| 日期: 2026-07-10 |
| 日期: 2026-07-10 |
| 日期: 2026-07-11 |
| 日期: 2026-07-11 |
| 日期: 2026-07-14 |
| 日期: 2026-07-25 |
| 日期: 2026-07-26 |