Condition Based Maintenance of Naval Propulsion Plants (UCI) 核心 · 已核验
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舰船燃气轮机推进装置(GT/齿轮箱/螺旋桨/船体)数值仿真器数据(UCI #316,Genova 大学):16 特征稳态测点,标注压气机与涡轮衰退系数,支撑 CBM 衰退状态估计。设备类型词表候选:gas_turbine/marine_propulsion(暂置 other)
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://archive.ics.uci.edu/dataset/316/condition+based+maintenance+of+naval+propulsion+plants
- 许可证
- CC-BY-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
- 2014
- 发布方
- UCI Machine Learning Repository
- 设备类型
other- PHM 任务
health_state_assessmentdegradation_trend_prediction
故障工况
| description: 燃气轮机压气机/涡轮性能衰退(kMc/kMt 衰退系数连续标注)fault_type: otherinduction: simulated_synthetic |
传感器
| sensor_type: otherobserved_property: othermounting_note: 16 路仿真稳态测点:轴转速/扭矩/进出口温度压力/燃油流量等 |
运行工况
| description: 航速 3~27 节扫掠(推进装置全工况仿真)condition_type: rotating_speedis_varying: True |
关联论文(45 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。
- Adaptive approaches towards fully incremental prediction interval for data stream regression 2026 · 候选引用(未核验)
- Application of SHAP-based explainable machine learning in remaining useful life prediction for aircraft engine systems 2026 · 候选引用(未核验)
- Reliability Optimization and Component Replacement Scheduling for Compressed Air Systems in Indonesian Navy PKR-Class Vessels Using FMECA and Weibull Analysis 2026 · 候选引用(未核验)
- AI-Driven Energy Management for Sustainable Transformation of Recreational Boats: A Simulation Study for the Croatian Adriatic Coast 2026 · 候选引用(未核验)
- Physics-Informed Machine Learning for Vessel Shaft Power and Fuel Consumption Prediction: Interpretable KAN-based Approach 2026 · 候选引用(未核验)
- Predictive maintenance in naval vessel propulsion systems for enhanced marine operations using a BiGMM-HMM framework with divergence-based clustering 2025 · 用于方法验证
- Quantum-Inspired Multi-Objective Seahorse Optimizer for Predictive Maintenance Analysis Using Numerical Association Rule Mining 2025 · 候选引用(未核验)
- Extended MetaLIRS: Meta-learning for Imputation and Regression Selection Model with Explainability for Different Missing Data Mechanisms 2025 · 候选引用(未核验)
- A Model for Learning-Curve Estimation in Efficient Neural Architecture Search and Its Application in Predictive Health Maintenance 2025 · 候选引用(未核验)
- Torch-Uncertainty: A Deep Learning Framework for Uncertainty Quantification 2025 · 候选引用(未核验)
- Federated Learning-Aided Prognostics in the Shipping 4.0: Principles, Workflow, and Use Cases 2024 · 使用该数据集
- A Data-Driven Model for Rapid CII Prediction 2024 · 候选引用(未核验)
- Efficient Model Compression for Bayesian Neural Networks 2024 · 候选引用(未核验)
- AI4I-PMDI : Predictive Maintenance Dataset with Irregularities 2024 · 候选引用(未核验)
- Federated Learning-Aided Prognostics in the Shipping 4.0: Principles, Workflow, and Use Cases 2023 · 使用该数据集
- Condition Monitoring using Machine Learning: A Review of Theory, Applications, and Recent Advances 2023 · 候选引用(未核验)
- Review of maintenance strategies for ship machinery systems 2023 · 候选引用(未核验)
- Publicly Available Datasets for Predictive Maintenance in the Energy Sector: A Review 2023 · 候选引用(未核验)
- Health assessment framework of marine engines enabled by digital twins 2023 · 候选引用(未核验)
- Component Criticality Analysis for Improved Ship Machinery Reliability 2023 · 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(9 条)
| 日期: 2026-07-08 |
| 来源链接: https://api.datacite.org/dois/10.24432/C5K31K 日期: 2026-07-08 |
| 日期: 2026-07-08 |
| 日期: 2026-07-09 |
| 日期: 2026-07-11 |
| 日期: 2026-07-11 |
| 日期: 2026-07-25 |
| 日期: 2026-07-26 |
| 日期: 2026-07-31 |